chore: rename strava-mcp-server package to strava-mcp-server-hnrx in uv.lock

.gitea/workflows/cicd.yml

@@ -34,6 +34,28 @@ jobs:
       - name: Run Ruff (Lint & Syntax Check)
         run: uv run ruff check src
 
+  publish-pypi:
+    name: Publish to PyPI
+    needs: lint
+    if: startsWith(github.ref, 'refs/tags/v')
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+      
+      - name: Install uv
+        uses: astral-sh/setup-uv@v2
+        with:
+          version: "latest"
+          
+      - name: Build package
+        run: uv build
+
+      - name: Publish to PyPI
+        run: uv publish --token ${{ secrets.PYPI_TOKEN }}
+        env:
+          UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
+
   build-and-push:
     name: Build & Push Docker Image
     needs: lint

.gitea/workflows/deploy-website.yaml

@@ -0,0 +1,29 @@
+name: Deploy Website to S3
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'website/**'
+      - '.gitea/workflows/deploy-website.yaml'
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v4
+
+      - name: Sync to S3
+        uses: https://github.com/jakejarvis/s3-sync-action@master
+        with:
+          args: --acl public-read --follow-symlinks --delete
+        env:
+          AWS_S3_BUCKET: ${{ secrets.S3_BUCKET }}
+          AWS_ACCESS_KEY_ID: ${{ secrets.S3_ACCESS_KEY }}
+          AWS_SECRET_ACCESS_KEY: ${{ secrets.S3_SECRET_KEY }}
+          AWS_S3_ENDPOINT: "https://s3.hnrx.net"
+          AWS_S3_FORCE_PATH_STYLE: 'true'
+          AWS_REGION: 'garage'
+          SOURCE_DIR: 'website'

AGENTS.md

@@ -0,0 +1,5 @@
+Das Git Repo zu dem Projekt:
+"Strava MCP Server"
+findest du hier: https://git.hnrx.net/hnrx/strava-mcp-server
+
+Issues: https://git.hnrx.net/hnrx/strava-mcp-server/issues

README.md

@@ -32,6 +32,8 @@ Built with [FastMCP](https://github.com/jlowin/fastmcp) and the [MCP Python SDK]
 - [Project Structure](#project-structure)
 - [Design Decisions](#design-decisions)
 - [CI/CD (Gitea Actions)](#cicd-gitea-actions)
+- [Development & Testing](#️-development--testing)
+  - [Git Hooks](#git-hooks)
 - [Known Strava API Limitations](#known-strava-api-limitations)
 - [Troubleshooting](#troubleshooting)
 
@@ -226,6 +228,50 @@ docker buildx build --platform linux/amd64,linux/arm64 -t strava-mcp-server:test
 
 ---
 
+### 5. Git Hooks
+
+Two hooks are provided in `scripts/hooks/` — install them both after cloning:
+
+```bash
+cp scripts/hooks/pre-commit .git/hooks/pre-commit && chmod +x .git/hooks/pre-commit
+cp scripts/hooks/pre-push   .git/hooks/pre-push   && chmod +x .git/hooks/pre-push
+```
+
+#### `pre-commit` — Lint & Format check
+Runs on staged `.py` files before every commit.
+- 🔍 `ruff check` — linting
+- 🎨 `ruff format --check` — formatting
+- 🔧 Fix: `uv run ruff check --fix` + `uv run ruff format`
+- ⚡ Bypass: `git commit --no-verify`
+
+#### `pre-push` — Unit tests
+Runs the full unit test suite before every push.
+- 🧪 `pytest tests/unit/ -q`
+- ⚡ Bypass: `git push --no-verify`
+
+### 6. Unit Tests
+
+Fast, offline unit tests for pure functions and MCP helpers (no Strava API required).
+
+```bash
+# Run all unit tests
+uv run pytest tests/unit/ -v
+
+# Run with coverage (if pytest-cov is installed)
+uv run pytest tests/unit/ --cov=strava_mcp_server
+```
+
+**Test coverage:**
+| Module | Tests |
+|--------|-------|
+| `utils.py` — `parse_iso_to_unix` | `None`, empty, invalid, UTC, offset, date-only |
+| `utils.py` — `format_date_iso` | Normalization, `None`, datetime object, invalid |
+| `utils.py` — `format_date_human` | German format, `None`, datetime object, regex pattern |
+| `tools/*` — `_resource()` | Type, mimeType, URI, JSON validity, audience |
+| `tools/*` — `_user_text()` | Type, text value, audience |
+
+---
+
 ## License
 
 MIT

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "hatchling.build"
 
 
 [project]
-name = "strava-mcp-server"
+name = "strava-mcp-server-hnrx"
 dynamic = ["version"]
 description = "A Model Context Protocol (MCP) server that exposes the Strava API v3 as tools, resources, and prompts for AI agents."
 readme = "README.md"
@@ -46,7 +46,17 @@ auth = "strava_mcp_server.get_token:main"
 [dependency-groups]
 dev = [
     "ruff>=0.15.12",
+    "pytest>=8.0",
+    "pytest-asyncio>=0.24",
+    "pytest-sugar>=1.1.1",
 ]
 
 [tool.hatch.version]
 source = "vcs"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/strava_mcp_server"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+testpaths = ["tests"]

scripts/hooks/pre-commit

@@ -0,0 +1,35 @@
+#!/bin/sh
+# pre-commit hook: runs ruff check (lint) and ruff format --check on staged Python files
+# To bypass: git commit --no-verify
+
+STAGED_FILES=$(git diff --cached --name-only --diff-filter=ACM | grep '\.py$')
+
+if [ -z "$STAGED_FILES" ]; then
+    exit 0
+fi
+
+FAILED=0
+
+echo "🔍 Running ruff check (lint)..."
+uv run ruff check $STAGED_FILES
+if [ $? -ne 0 ]; then
+    echo "   ↳ Fix with: uv run ruff check --fix"
+    FAILED=1
+fi
+
+echo "🎨 Running ruff format --check..."
+uv run ruff format --check $STAGED_FILES
+if [ $? -ne 0 ]; then
+    echo "   ↳ Fix with: uv run ruff format"
+    FAILED=1
+fi
+
+if [ $FAILED -ne 0 ]; then
+    echo ""
+    echo "❌ Pre-commit checks failed. Commit aborted."
+    echo "   To bypass: git commit --no-verify"
+    exit 1
+fi
+
+echo "✅ All checks passed."
+exit 0

scripts/hooks/pre-push

@@ -0,0 +1,18 @@
+#!/bin/sh
+# pre-push hook: runs unit tests before every git push
+# To bypass: git push --no-verify
+
+echo "🧪 Running unit tests..."
+
+uv run pytest tests/unit/ -q
+exit_code=$?
+
+if [ $exit_code -ne 0 ]; then
+    echo ""
+    echo "❌ Unit tests failed. Push aborted."
+    echo "   To bypass: git push --no-verify"
+    exit 1
+fi
+
+echo "✅ All unit tests passed."
+exit 0

src/strava_mcp_server/__init__.py

@@ -1,2 +1,3 @@
 """Strava MCP Server"""
+
 __version__ = "0.1.0"

src/strava_mcp_server/get_token.py

@@ -11,6 +11,7 @@ Required scopes:
 
 Usage: uv run get_token.py
 """
+
 import os
 import webbrowser
 import httpx
@@ -25,6 +26,7 @@ CLIENT_SECRET = os.getenv("STRAVA_CLIENT_SECRET")
 REDIRECT_URI = "http://localhost:8765/callback"
 SCOPES = "profile:read_all,activity:read_all,activity:read,profile:write"
 
+
 class CallbackHandler(BaseHTTPRequestHandler):
     client_id: str = ""
     client_secret: str = ""
@@ -50,14 +52,15 @@ class CallbackHandler(BaseHTTPRequestHandler):
                 )
                 response.raise_for_status()
                 self.tokens = response.json()
-                
+
                 self.send_response(200)
                 self.send_header("Content-Type", "text/html; charset=utf-8")
                 self.end_headers()
-                
+
                 refresh_token = self.tokens.get("refresh_token")
-                
-                self.wfile.write(f"""
+
+                self.wfile.write(
+                    f"""
                     <html>
                     <head>
                         <style>
@@ -103,7 +106,8 @@ STRAVA_REFRESH_TOKEN={refresh_token}</pre>
                         </p>
                     </body>
                     </html>
-                """.encode("utf-8"))
+                """.encode("utf-8")
+                )
             except Exception as e:
                 self.error = str(e)
                 self.send_response(500)
@@ -176,7 +180,7 @@ def main():
     print(f"STRAVA_CLIENT_SECRET={CLIENT_SECRET}")
     print(f"STRAVA_REFRESH_TOKEN={refresh_token}")
     print("-" * 40)
-    
+
     # Optional: Automatically update .env if it exists
     try:
         env_path = ".env"

src/strava_mcp_server/main.py

@@ -24,9 +24,11 @@ def validate_credentials() -> None:
             print(f"   - {key}")
         print("\nCopy .env.example to .env and fill in your Strava API credentials.")
         sys.exit(1)
-        
+
     if not os.getenv("STRAVA_REFRESH_TOKEN"):
-        print("ℹ️ No STRAVA_REFRESH_TOKEN found. Server starting in unauthenticated mode.")
+        print(
+            "ℹ️ No STRAVA_REFRESH_TOKEN found. Server starting in unauthenticated mode."
+        )
         print("   Run 'uv run auth' on your local machine to authenticate.")
 
 
@@ -54,7 +56,7 @@ def main() -> None:
         streamable_http_path="/mcp",
         stateless_http=True,
     )
-    
+
     try:
         mcp._mcp_server.version = importlib.metadata.version("strava-mcp-server")
     except importlib.metadata.PackageNotFoundError:

src/strava_mcp_server/strava_client.py

@@ -37,8 +37,10 @@ class StravaClient:
     async def get_valid_token(self) -> str:
         """Returns a valid access token, refreshing it if necessary."""
         if not self.refresh_token:
-            raise ValueError("No Strava refresh token found. Please run 'uv run auth' on your local machine to authenticate first.")
-            
+            raise ValueError(
+                "No Strava refresh token found. Please run 'uv run auth' on your local machine to authenticate first."
+            )
+
         if not self.access_token or time.time() > self.expires_at - 60:
             await self._refresh_access_token()
         return self.access_token
@@ -99,15 +101,27 @@ class StravaClient:
         """Gets the heart rate and power zones for a specific activity."""
         return await self._get(f"activities/{activity_id}/zones")
 
-    async def get_activity_comments(self, activity_id: int, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_activity_comments(
+        self, activity_id: int, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets comments on a specific activity."""
-        return await self._get(f"activities/{activity_id}/comments", params={"page": page, "per_page": per_page})
+        return await self._get(
+            f"activities/{activity_id}/comments",
+            params={"page": page, "per_page": per_page},
+        )
 
-    async def get_activity_kudoers(self, activity_id: int, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_activity_kudoers(
+        self, activity_id: int, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets athletes who kudoed a specific activity."""
-        return await self._get(f"activities/{activity_id}/kudos", params={"page": page, "per_page": per_page})
+        return await self._get(
+            f"activities/{activity_id}/kudos",
+            params={"page": page, "per_page": per_page},
+        )
 
-    async def get_activity_streams(self, activity_id: int, keys: List[str]) -> Dict[str, Any]:
+    async def get_activity_streams(
+        self, activity_id: int, keys: List[str]
+    ) -> Dict[str, Any]:
         """Gets data streams for a specific activity."""
         return await self._get(
             f"activities/{activity_id}/streams",
@@ -116,28 +130,45 @@ class StravaClient:
 
     # ── Clubs ─────────────────────────────────────────────────────────────────
 
-    async def get_athlete_clubs(self, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_athlete_clubs(
+        self, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets clubs the current athlete belongs to."""
-        return await self._get("athlete/clubs", params={"page": page, "per_page": per_page})
+        return await self._get(
+            "athlete/clubs", params={"page": page, "per_page": per_page}
+        )
 
     async def get_club(self, club_id: int) -> Dict[str, Any]:
         """Gets a specific club by ID."""
         return await self._get(f"clubs/{club_id}")
 
-    async def get_club_activities(self, club_id: int, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_club_activities(
+        self, club_id: int, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets recent activities from a club."""
-        return await self._get(f"clubs/{club_id}/activities", params={"page": page, "per_page": per_page})
+        return await self._get(
+            f"clubs/{club_id}/activities", params={"page": page, "per_page": per_page}
+        )
 
-    async def get_club_members(self, club_id: int, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_club_members(
+        self, club_id: int, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets members of a club."""
-        return await self._get(f"clubs/{club_id}/members", params={"page": page, "per_page": per_page})
+        return await self._get(
+            f"clubs/{club_id}/members", params={"page": page, "per_page": per_page}
+        )
 
     # ── Routes ────────────────────────────────────────────────────────────────
 
-    async def get_routes_by_athlete(self, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_routes_by_athlete(
+        self, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets routes created by the current athlete."""
         athlete = await self.get_athlete()
-        return await self._get(f"athletes/{athlete['id']}/routes", params={"page": page, "per_page": per_page})
+        return await self._get(
+            f"athletes/{athlete['id']}/routes",
+            params={"page": page, "per_page": per_page},
+        )
 
     async def get_route_by_id(self, route_id: str) -> Dict[str, Any]:
         """Gets a specific route by its ID."""
@@ -153,19 +184,26 @@ class StravaClient:
         """Gets a specific segment by ID."""
         return await self._get(f"segments/{segment_id}")
 
-    async def get_starred_segments(self, page: int = 1, per_page: int = 30) -> List[Dict[str, Any]]:
+    async def get_starred_segments(
+        self, page: int = 1, per_page: int = 30
+    ) -> List[Dict[str, Any]]:
         """Gets segments starred by the current athlete."""
-        return await self._get("segments/starred", params={"page": page, "per_page": per_page})
+        return await self._get(
+            "segments/starred", params={"page": page, "per_page": per_page}
+        )
 
-    async def explore_segments(self, bounds: str, activity_type: str = "riding") -> Dict[str, Any]:
+    async def explore_segments(
+        self, bounds: str, activity_type: str = "riding"
+    ) -> Dict[str, Any]:
         """Explores segments within a given bounding box."""
         return await self._get(
             "segments/explore",
             params={"bounds": bounds, "activity_type": activity_type},
         )
 
-
-    async def get_segment_streams(self, segment_id: int, keys: List[str]) -> Dict[str, Any]:
+    async def get_segment_streams(
+        self, segment_id: int, keys: List[str]
+    ) -> Dict[str, Any]:
         """Gets data streams for a specific segment."""
         return await self._get(
             f"segments/{segment_id}/streams",
@@ -193,7 +231,9 @@ class StravaClient:
             params["end_date_local"] = end_date_local
         return await self._get("segment_efforts", params=params)
 
-    async def get_segment_effort_streams(self, effort_id: str, keys: List[str]) -> Dict[str, Any]:
+    async def get_segment_effort_streams(
+        self, effort_id: str, keys: List[str]
+    ) -> Dict[str, Any]:
         """Gets data streams for a specific segment effort."""
         return await self._get(
             f"segment_efforts/{effort_id}/streams",

src/strava_mcp_server/tools/__init__.py

@@ -3,6 +3,7 @@ MCP Tool definitions for the Strava MCP Server.
 
 Register all tools by calling register_tools(mcp, strava).
 """
+
 from mcp.server.fastmcp import FastMCP
 from strava_mcp_server.strava_client import StravaClient
 
@@ -15,6 +16,7 @@ from . import segment_efforts
 from . import gear
 from . import prompts
 
+
 def register_tools(mcp: FastMCP, strava: StravaClient) -> None:
     """Register all available tools and prompts."""
     athlete.register(mcp, strava)

src/strava_mcp_server/tools/activities.py

@@ -2,7 +2,12 @@ import json
 from mcp.server.fastmcp import FastMCP, Context
 from mcp.types import TextContent, Annotations, EmbeddedResource, TextResourceContents
 from strava_mcp_server.strava_client import StravaClient
-from strava_mcp_server.utils import parse_iso_to_unix, format_date_iso, format_date_human
+from strava_mcp_server.utils import (
+    parse_iso_to_unix,
+    format_date_iso,
+    format_date_human,
+)
+
 
 def _resource(uri: str, data) -> EmbeddedResource:
     """Helper: return an assistant-facing EmbeddedResource with application/json."""
@@ -16,9 +21,13 @@ def _resource(uri: str, data) -> EmbeddedResource:
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
     """Helper: return a user-facing TextContent."""
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
+
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
     @mcp.tool()
@@ -49,27 +58,39 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
             essential_data = []
             for a in activities:
                 start_date_raw = a.get("start_date")
-                essential_data.append({
-                    "id": a["id"],
-                    "name": a["name"],
-                    "sport_type": a.get("sport_type") or a.get("type"),
-                    "start_date": format_date_iso(start_date_raw),
-                    "start_date_local": format_date_human(start_date_raw),
-                    "distance": f"{a.get('distance', 0) / 1000:.2f} km",
-                    "moving_time": f"{a.get('moving_time', 0) / 60:.1f} min",
-                    "total_elevation_gain": f"{a.get('total_elevation_gain', 0):.0f} m",
-                    "average_heartrate": a.get("average_heartrate"),
-                    "gear_id": a.get("gear_id"),
-                })
+                essential_data.append(
+                    {
+                        "id": a["id"],
+                        "name": a["name"],
+                        "sport_type": a.get("sport_type") or a.get("type"),
+                        "start_date": format_date_iso(start_date_raw),
+                        "start_date_local": format_date_human(start_date_raw),
+                        "distance": f"{a.get('distance', 0) / 1000:.2f} km",
+                        "moving_time": f"{a.get('moving_time', 0) / 60:.1f} min",
+                        "total_elevation_gain": f"{a.get('total_elevation_gain', 0):.0f} m",
+                        "average_heartrate": a.get("average_heartrate"),
+                        "gear_id": a.get("gear_id"),
+                    }
+                )
 
             if not essential_data:
-                markdown_summary = "### 📭 Keine Aktivitäten in diesem Zeitraum gefunden."
+                markdown_summary = (
+                    "### 📭 Keine Aktivitäten in diesem Zeitraum gefunden."
+                )
             else:
                 markdown_summary = f"### 🚴 Aktivitäten (Seite {page})\n"
-                markdown_summary += "| Datum | Sport | Name | Distanz | Zeit | Höhenmeter | Ø HR |\n"
-                markdown_summary += "|-------|-------|------|---------|------|------------|------|\n"
+                markdown_summary += (
+                    "| Datum | Sport | Name | Distanz | Zeit | Höhenmeter | Ø HR |\n"
+                )
+                markdown_summary += (
+                    "|-------|-------|------|---------|------|------------|------|\n"
+                )
                 for a in essential_data:
-                    hr = f"{a['average_heartrate']:.0f} bpm" if a['average_heartrate'] else "-"
+                    hr = (
+                        f"{a['average_heartrate']:.0f} bpm"
+                        if a["average_heartrate"]
+                        else "-"
+                    )
                     markdown_summary += f"| {a['start_date_local']} | {a['sport_type']} | {a['name']} | {a['distance']} | {a['moving_time']} | {a['total_elevation_gain']} | {hr} |\n"
 
             return [
@@ -106,10 +127,26 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
             dist = f"{activity.get('distance', 0) / 1000:.2f} km"
             time = f"{activity.get('moving_time', 0) / 60:.1f} min"
             elev = f"{activity.get('total_elevation_gain', 0):.0f} m"
-            avg_hr = f"{activity.get('average_heartrate', 0):.0f} bpm" if activity.get("average_heartrate") else "N/A"
-            max_hr = f"{activity.get('max_heartrate', 0):.0f} bpm" if activity.get("max_heartrate") else "N/A"
-            avg_spd = f"{activity.get('average_speed', 0) * 3.6:.1f} km/h" if activity.get("average_speed") else "N/A"
-            avg_w = f"{activity.get('average_watts', 0):.0f} W" if activity.get("average_watts") else "N/A"
+            avg_hr = (
+                f"{activity.get('average_heartrate', 0):.0f} bpm"
+                if activity.get("average_heartrate")
+                else "N/A"
+            )
+            max_hr = (
+                f"{activity.get('max_heartrate', 0):.0f} bpm"
+                if activity.get("max_heartrate")
+                else "N/A"
+            )
+            avg_spd = (
+                f"{activity.get('average_speed', 0) * 3.6:.1f} km/h"
+                if activity.get("average_speed")
+                else "N/A"
+            )
+            avg_w = (
+                f"{activity.get('average_watts', 0):.0f} W"
+                if activity.get("average_watts")
+                else "N/A"
+            )
             gear = activity.get("gear_id") or "N/A"
             n_efforts = len(activity.get("segment_efforts", []))
 
@@ -133,7 +170,11 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 _resource(f"internal://activities/{activity_id}", activity),
             ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching activity details: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching activity details: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def get_activity_comments(activity_id: int, limit: int = 30):
@@ -159,7 +200,10 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 md = f"### 💬 Kommentare ({len(data)})\n"
                 for c in data:
                     md += f"- **{c['athlete']}** ({format_date_human(c['created_at'])}): {c['text']}\n"
-            return [_user_text(md.strip()), _resource(f"internal://activities/{activity_id}/comments", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://activities/{activity_id}/comments", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching comments: {str(e)}")]
 
@@ -189,7 +233,10 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 for k in data:
                     loc = ", ".join(filter(None, [k["city"], k["country"]])) or "N/A"
                     md += f"| {k['name']} | {loc} |\n"
-            return [_user_text(md.strip()), _resource(f"internal://activities/{activity_id}/kudoers", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://activities/{activity_id}/kudoers", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching kudoers: {str(e)}")]
 
@@ -224,9 +271,16 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 md += "| # | Distanz | Zeit | Ø Speed | Ø HR |\n"
                 md += "|---|---------|------|---------|------|\n"
                 for lap in data:
-                    hr = f"{lap['average_heartrate']:.0f} bpm" if lap['average_heartrate'] else "-"
+                    hr = (
+                        f"{lap['average_heartrate']:.0f} bpm"
+                        if lap["average_heartrate"]
+                        else "-"
+                    )
                     md += f"| {lap['lap_index']} | {lap['distance']} | {lap['moving_time']} | {lap['average_speed']} | {hr} |\n"
-            return [_user_text(md.strip()), _resource(f"internal://activities/{activity_id}/laps", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://activities/{activity_id}/laps", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching laps: {str(e)}")]
 
@@ -260,15 +314,26 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                     "distribution_buckets": buckets,
                 }
                 data.append(zone_data)
-                label = "Herzfrequenz" if zone_data["type"] == "heartrate" else "Leistung (Power)"
+                label = (
+                    "Herzfrequenz"
+                    if zone_data["type"] == "heartrate"
+                    else "Leistung (Power)"
+                )
                 md += f"#### {label}\n| Zone | Bereich | Zeit |\n|------|---------|------|\n"
                 for b in buckets:
                     max_val = "max" if b["max"] == -1 else str(b["max"])
                     md += f"| {b['zone']} | {b['min']} – {max_val} | {b['time_in_zone']} |\n"
                 md += "\n"
-            return [_user_text(md.strip()), _resource(f"internal://activities/{activity_id}/zones", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://activities/{activity_id}/zones", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching activity zones: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching activity zones: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def get_activity_streams(

src/strava_mcp_server/tools/athlete.py

@@ -2,7 +2,8 @@ import json
 from mcp.server.fastmcp import FastMCP, Context
 from mcp.types import TextContent, Annotations, EmbeddedResource, TextResourceContents
 from strava_mcp_server.strava_client import StravaClient
-from strava_mcp_server.utils import format_date_iso, format_date_human
+from strava_mcp_server.utils import format_date_human
+
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
     @mcp.tool()
@@ -12,59 +13,52 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
         Returns name, city, country, follower count, and other profile details.
         """
         try:
-
             await ctx.info("Fetching athlete profile...")
 
             athlete = await strava.get_athlete()
 
-            location_parts = [p for p in (athlete.get('city'), athlete.get('state'), athlete.get('country')) if p]
+            location_parts = [
+                p
+                for p in (
+                    athlete.get("city"),
+                    athlete.get("state"),
+                    athlete.get("country"),
+                )
+                if p
+            ]
             location = ", ".join(location_parts) if location_parts else "N/A"
 
-            essential_data = {
-                "id": athlete.get("id"),
-                "username": athlete.get("username"),
-                "name": f"{athlete.get('firstname')} {athlete.get('lastname')}".strip(),
-                "location": location,
-                "sex": athlete.get("sex"),
-                "weight": athlete.get("weight"),
-                "measurement_units": athlete.get("measurement_preference"),
-                "is_premium": athlete.get("premium", False),
-                "profile_medium": athlete.get("profile_medium"),
-                "created_at": format_date_iso(athlete.get("created_at")),
-                "updated_at": format_date_iso(athlete.get("updated_at")),
-                "bio": athlete.get("bio"),
-                "follower_count": athlete.get("follower_count"),
-                "friend_count": athlete.get("friend_count"),
-            }
-
+            full_name = (
+                f"{athlete.get('firstname', '')} {athlete.get('lastname', '')}".strip()
+            )
             markdown_summary = f"""
-👤 **Profile for {essential_data['name']}** (ID: {essential_data['id']})
-   - Username: {essential_data['username'] or 'N/A'}
-   - Location: {essential_data['location']}
-   - Sex: {essential_data['sex'] or 'N/A'}
-   - Weight: {essential_data['weight'] or 'N/A'} kg
-   - Measurement Units: {essential_data['measurement_units'] or 'N/A'}
-   - Strava Summit Member: {'Yes' if essential_data['is_premium'] else 'No'}
-   - Profile Image (Medium): {essential_data['profile_medium'] or 'N/A'}
-   - Joined Strava: {format_date_human(essential_data['created_at'])}
-   - Last Updated: {format_date_human(essential_data['updated_at'])}
+👤 **Profile for {full_name}** (ID: {athlete.get("id")})
+   - Username: {athlete.get("username") or "N/A"}
+   - Location: {location}
+   - Sex: {athlete.get("sex") or "N/A"}
+   - Weight: {athlete.get("weight") or "N/A"} kg
+   - Measurement Units: {athlete.get("measurement_preference") or "N/A"}
+   - Strava Summit Member: {"Yes" if athlete.get("premium") else "No"}
+   - Profile Image (Medium): {athlete.get("profile_medium") or "N/A"}
+   - Joined Strava: {format_date_human(athlete.get("created_at"))}
+   - Last Updated: {format_date_human(athlete.get("updated_at"))}
             """.strip()
 
             return [
                 TextContent(
-                    type="text", 
+                    type="text",
                     text=markdown_summary,
-                    annotations=Annotations(audience=["user"])
+                    annotations=Annotations(audience=["user"]),
                 ),
                 EmbeddedResource(
                     type="resource",
                     resource=TextResourceContents(
                         uri="internal://athlete/profile",
                         mimeType="application/json",
-                        text=json.dumps(essential_data, indent=2)
+                        text=json.dumps(athlete, indent=2),
                     ),
-                    annotations=Annotations(audience=["assistant"])
-                )
+                    annotations=Annotations(audience=["assistant"]),
+                ),
             ]
 
         except Exception as e:
@@ -81,9 +75,9 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
         try:
             await ctx.info("Fetching athlete zones...")
             zones = await strava.get_athlete_zones()
-            
+
             markdown_summary = "### 💓 Trainingszonen\n\n"
-            
+
             # Heart Rate Zones
             hr_zones = zones.get("heart_rate", {}).get("zones", [])
             if hr_zones:
@@ -91,9 +85,9 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 markdown_summary += "| Zone | Bereich (bpm) |\n"
                 markdown_summary += "|------|---------------|\n"
                 for i, z in enumerate(hr_zones):
-                    markdown_summary += f"| {i+1} | {z.get('min')} - {z.get('max') if z.get('max') != -1 else 'max'} |\n"
+                    markdown_summary += f"| {i + 1} | {z.get('min')} - {z.get('max') if z.get('max') != -1 else 'max'} |\n"
                 markdown_summary += "\n"
-            
+
             # Power Zones
             power_zones = zones.get("power", {}).get("zones", [])
             if power_zones:
@@ -101,26 +95,26 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 markdown_summary += "| Zone | Bereich (W) |\n"
                 markdown_summary += "|------|-------------|\n"
                 for i, z in enumerate(power_zones):
-                    markdown_summary += f"| {i+1} | {z.get('min')} - {z.get('max') if z.get('max') != -1 else 'max'} |\n"
+                    markdown_summary += f"| {i + 1} | {z.get('min')} - {z.get('max') if z.get('max') != -1 else 'max'} |\n"
 
             if not hr_zones and not power_zones:
                 markdown_summary = "⚠️ Keine Trainingszonen konfiguriert."
 
             return [
                 TextContent(
-                    type="text", 
+                    type="text",
                     text=markdown_summary.strip(),
-                    annotations=Annotations(audience=["user"])
+                    annotations=Annotations(audience=["user"]),
                 ),
                 EmbeddedResource(
                     type="resource",
                     resource=TextResourceContents(
                         uri="internal://athlete/zones",
                         mimeType="application/json",
-                        text=json.dumps(zones, indent=2)
+                        text=json.dumps(zones, indent=2),
                     ),
-                    annotations=Annotations(audience=["assistant"])
-                )
+                    annotations=Annotations(audience=["assistant"]),
+                ),
             ]
         except Exception as e:
             error_msg = f"Error fetching athlete zones: {str(e)}"
@@ -163,7 +157,7 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
             }
 
             markdown_summary = "### 📈 Trainingsstatistiken\n\n"
-            
+
             def create_table(title: str, data: dict):
                 tbl = f"#### {title}\n"
                 tbl += "| Sport | Aktivitäten | Distanz | Zeit | Höhenmeter |\n"
@@ -179,19 +173,19 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
 
             return [
                 TextContent(
-                    type="text", 
+                    type="text",
                     text=markdown_summary.strip(),
-                    annotations=Annotations(audience=["user"])
+                    annotations=Annotations(audience=["user"]),
                 ),
                 EmbeddedResource(
                     type="resource",
                     resource=TextResourceContents(
                         uri="internal://athlete/stats",
                         mimeType="application/json",
-                        text=json.dumps(stats, indent=2)
+                        text=json.dumps(stats, indent=2),
                     ),
-                    annotations=Annotations(audience=["assistant"])
-                )
+                    annotations=Annotations(audience=["assistant"]),
+                ),
             ]
         except Exception as e:
             error_msg = f"Error fetching athlete stats: {str(e)}"

src/strava_mcp_server/tools/clubs.py

@@ -7,12 +7,17 @@ from strava_mcp_server.strava_client import StravaClient
 def _resource(uri: str, data) -> EmbeddedResource:
     return EmbeddedResource(
         type="resource",
-        resource=TextResourceContents(uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)),
+        resource=TextResourceContents(
+            uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)
+        ),
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
 
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
@@ -88,9 +93,16 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 md += "|--------|-------|------|---------|------|\n"
                 for a in data:
                     md += f"| {a['athlete']} | {a['sport_type']} | {a['name']} | {a['distance']} | {a['moving_time']} |\n"
-            return [_user_text(md.strip()), _resource(f"internal://clubs/{club_id}/activities", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://clubs/{club_id}/activities", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching club activities: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching club activities: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def get_club_members(club_id: int, limit: int = 30):
@@ -118,6 +130,11 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 for m in data:
                     loc = ", ".join(filter(None, [m["city"], m["country"]])) or "N/A"
                     md += f"| {m['name']} | {loc} |\n"
-            return [_user_text(md.strip()), _resource(f"internal://clubs/{club_id}/members", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://clubs/{club_id}/members", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching club members: {str(e)}")]
+            return [
+                TextContent(type="text", text=f"Error fetching club members: {str(e)}")
+            ]

src/strava_mcp_server/tools/gear.py

@@ -7,12 +7,17 @@ from strava_mcp_server.strava_client import StravaClient
 def _resource(uri: str, data) -> EmbeddedResource:
     return EmbeddedResource(
         type="resource",
-        resource=TextResourceContents(uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)),
+        resource=TextResourceContents(
+            uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)
+        ),
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
 
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
@@ -38,18 +43,24 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 "primary": g.get("primary", False),
                 "retired": g.get("retired", False),
             }
-            brand_model = " ".join(filter(None, [data["brand_name"], data["model_name"]])) or "N/A"
-            md = f"""### 🚲 Ausrüstung: {data['name'] or gear_id}
+            brand_model = (
+                " ".join(filter(None, [data["brand_name"], data["model_name"]]))
+                or "N/A"
+            )
+            md = f"""### 🚲 Ausrüstung: {data["name"] or gear_id}
 | Feld | Wert |
 |------|------|
 | Marke / Modell | {brand_model} |
-| Spitzname | {data['nickname'] or 'N/A'} |
-| Typ | {data['type'] or 'N/A'} |
-| Gesamt-Distanz | {data['distance']} |
-| Primär | {'✅ Ja' if data['primary'] else 'Nein'} |
-| Im Ruhestand | {'🛑 Ja' if data['retired'] else 'Nein'} |"""
+| Spitzname | {data["nickname"] or "N/A"} |
+| Typ | {data["type"] or "N/A"} |
+| Gesamt-Distanz | {data["distance"]} |
+| Primär | {"✅ Ja" if data["primary"] else "Nein"} |
+| Im Ruhestand | {"🛑 Ja" if data["retired"] else "Nein"} |"""
             if data["description"]:
                 md += f"\n\n_{data['description']}_"
-            return [_user_text(md.strip()), _resource(f"internal://gear/{gear_id}", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://gear/{gear_id}", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching gear: {str(e)}")]

src/strava_mcp_server/tools/prompts.py

@@ -1,6 +1,7 @@
 from mcp.server.fastmcp import FastMCP
 from strava_mcp_server.strava_client import StravaClient
 
+
 def register(mcp: FastMCP, strava: StravaClient) -> None:
     @mcp.prompt()
     def analyze_activity(activity_id: str) -> str:
@@ -30,8 +31,11 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
         Fetches recent activities and athlete stats to produce a summary report.
         """
         from datetime import datetime, timedelta, timezone
-        after_dt = (datetime.now(timezone.utc) - timedelta(weeks=weeks)).replace(hour=0, minute=0, second=0, microsecond=0)
-        after_iso = after_dt.isoformat().replace('+00:00', 'Z')
+
+        after_dt = (datetime.now(timezone.utc) - timedelta(weeks=weeks)).replace(
+            hour=0, minute=0, second=0, microsecond=0
+        )
+        after_iso = after_dt.isoformat().replace("+00:00", "Z")
         return (
             f"Please summarize my Strava training for the last {weeks} weeks.\n\n"
             f"Use list_activities with after='{after_iso}' (ISO 8601) "

src/strava_mcp_server/tools/routes.py

@@ -7,12 +7,17 @@ from strava_mcp_server.strava_client import StravaClient
 def _resource(uri: str, data) -> EmbeddedResource:
     return EmbeddedResource(
         type="resource",
-        resource=TextResourceContents(uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)),
+        resource=TextResourceContents(
+            uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)
+        ),
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
 
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
@@ -30,7 +35,11 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                     "id": str(r.get("id")),
                     "name": r.get("name"),
                     "description": r.get("description") or "",
-                    "type": "Run" if r.get("type") == 1 else "Ride" if r.get("type") == 2 else "Other",
+                    "type": "Run"
+                    if r.get("type") == 1
+                    else "Ride"
+                    if r.get("type") == 2
+                    else "Other",
                     "sub_type": r.get("sub_type"),
                     "distance": f"{r.get('distance', 0) / 1000:.2f} km",
                     "elevation_gain": f"{r.get('elevation_gain', 0):.0f} m",
@@ -66,7 +75,11 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 "id": str(r.get("id")),
                 "name": r.get("name"),
                 "description": r.get("description") or "",
-                "type": "Run" if r.get("type") == 1 else "Ride" if r.get("type") == 2 else "Other",
+                "type": "Run"
+                if r.get("type") == 1
+                else "Ride"
+                if r.get("type") == 2
+                else "Other",
                 "distance": f"{r.get('distance', 0) / 1000:.2f} km",
                 "elevation_gain": f"{r.get('elevation_gain', 0):.0f} m",
                 "estimated_moving_time": f"{r.get('estimated_moving_time', 0) / 60:.0f} min",
@@ -83,19 +96,22 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 ],
             }
             n_seg = len(data["segments"])
-            md = f"""### 🗺️ Route: {data['name']}
+            md = f"""### 🗺️ Route: {data["name"]}
 | Feld | Wert |
 |------|------|
-| Typ | {data['type']} |
-| Distanz | {data['distance']} |
-| Höhenmeter | {data['elevation_gain']} |
-| Geschätzte Dauer | {data['estimated_moving_time']} |
+| Typ | {data["type"]} |
+| Distanz | {data["distance"]} |
+| Höhenmeter | {data["elevation_gain"]} |
+| Geschätzte Dauer | {data["estimated_moving_time"]} |
 | Segmente | {n_seg} |
-| Favorit | {'⭐ Ja' if data['starred'] else 'Nein'} |
-| Privat | {'🔒 Ja' if data['private'] else 'Nein'} |"""
+| Favorit | {"⭐ Ja" if data["starred"] else "Nein"} |
+| Privat | {"🔒 Ja" if data["private"] else "Nein"} |"""
             if data["description"]:
                 md += f"\n\n_{data['description']}_"
-            return [_user_text(md.strip()), _resource(f"internal://routes/{route_id}", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://routes/{route_id}", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching route: {str(e)}")]
 

src/strava_mcp_server/tools/segment_efforts.py

@@ -8,12 +8,17 @@ from strava_mcp_server.utils import format_date_iso, format_date_human
 def _resource(uri: str, data) -> EmbeddedResource:
     return EmbeddedResource(
         type="resource",
-        resource=TextResourceContents(uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)),
+        resource=TextResourceContents(
+            uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)
+        ),
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
 
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
@@ -43,21 +48,32 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
             pr = f"#{data['pr_rank']}" if data["pr_rank"] else "N/A"
             kom = f"#{data['kom_rank']}" if data["kom_rank"] else "N/A"
             w = f"{data['average_watts']:.0f} W" if data["average_watts"] else "N/A"
-            hr = f"{data['average_heartrate']:.0f} bpm" if data["average_heartrate"] else "N/A"
-            md = f"""### 🏅 Segment-Effort: {data['name']}
+            hr = (
+                f"{data['average_heartrate']:.0f} bpm"
+                if data["average_heartrate"]
+                else "N/A"
+            )
+            md = f"""### 🏅 Segment-Effort: {data["name"]}
 | Feld | Wert |
 |------|------|
-| Datum | {format_date_human(data['start_date'])} |
-| Distanz | {data['distance']} |
-| Zeit (gesamt) | {data['elapsed_time']} |
-| Fahrzeit | {data['moving_time']} |
+| Datum | {format_date_human(data["start_date"])} |
+| Distanz | {data["distance"]} |
+| Zeit (gesamt) | {data["elapsed_time"]} |
+| Fahrzeit | {data["moving_time"]} |
 | Ø Leistung | {w} |
 | Ø Herzfrequenz | {hr} |
 | PR-Rang | {pr} |
 | KOM-Rang | {kom} |"""
-            return [_user_text(md.strip()), _resource(f"internal://segment_efforts/{effort_id}", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://segment_efforts/{effort_id}", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching segment effort: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching segment effort: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def list_segment_efforts(
@@ -101,9 +117,16 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 for effort in data:
                     pr = f"#{effort['pr_rank']}" if effort["pr_rank"] else "-"
                     md += f"| {format_date_human(effort['start_date'])} | {effort['elapsed_time']} | {effort['moving_time']} | {pr} |\n"
-            return [_user_text(md.strip()), _resource(f"internal://segments/{segment_id}/efforts", data)]
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://segments/{segment_id}/efforts", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching segment efforts: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching segment efforts: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def get_segment_effort_streams(

src/strava_mcp_server/tools/segments.py

@@ -7,12 +7,17 @@ from strava_mcp_server.strava_client import StravaClient
 def _resource(uri: str, data) -> EmbeddedResource:
     return EmbeddedResource(
         type="resource",
-        resource=TextResourceContents(uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)),
+        resource=TextResourceContents(
+            uri=uri, mimeType="application/json", text=json.dumps(data, indent=2)
+        ),
         annotations=Annotations(audience=["assistant"]),
     )
 
+
 def _user_text(text: str) -> TextContent:
-    return TextContent(type="text", text=text, annotations=Annotations(audience=["user"]))
+    return TextContent(
+        type="text", text=text, annotations=Annotations(audience=["user"])
+    )
 
 
 def register(mcp: FastMCP, strava: StravaClient) -> None:
@@ -43,22 +48,25 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 "country": s.get("country"),
             }
             loc = ", ".join(filter(None, [data["city"], data["country"]])) or "N/A"
-            md = f"""### 📍 Segment: {data['name']}
+            md = f"""### 📍 Segment: {data["name"]}
 | Feld | Wert |
 |------|------|
-| Sport | {data['activity_type']} |
-| Distanz | {data['distance']} |
-| Ø Steigung | {data['average_grade']} |
-| Max Steigung | {data['maximum_grade']} |
-| Höhe (hoch) | {data['elevation_high']} |
-| Höhe (tief) | {data['elevation_low']} |
-| Höhenmeter | {data['total_elevation_gain']} |
-| Versuche | {data['effort_count']} |
-| Athleten | {data['athlete_count']} |
-| KOM/QOM | {data['kom'] or 'N/A'} |
+| Sport | {data["activity_type"]} |
+| Distanz | {data["distance"]} |
+| Ø Steigung | {data["average_grade"]} |
+| Max Steigung | {data["maximum_grade"]} |
+| Höhe (hoch) | {data["elevation_high"]} |
+| Höhe (tief) | {data["elevation_low"]} |
+| Höhenmeter | {data["total_elevation_gain"]} |
+| Versuche | {data["effort_count"]} |
+| Athleten | {data["athlete_count"]} |
+| KOM/QOM | {data["kom"] or "N/A"} |
 | Ort | {loc} |
-| Favorit | {'⭐ Ja' if data['starred'] else 'Nein'} |"""
-            return [_user_text(md.strip()), _resource(f"internal://segments/{segment_id}", data)]
+| Favorit | {"⭐ Ja" if data["starred"] else "Nein"} |"""
+            return [
+                _user_text(md.strip()),
+                _resource(f"internal://segments/{segment_id}", data),
+            ]
         except Exception as e:
             return [TextContent(type="text", text=f"Error fetching segment: {str(e)}")]
 
@@ -90,9 +98,16 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 md += "|------|-------|---------|------------|----------|\n"
                 for s in data:
                     md += f"| {s['name']} | {s['activity_type']} | {s['distance']} | {s['average_grade']} | {s['effort_count']} |\n"
-            return [_user_text(md.strip()), _resource("internal://segments/starred", data)]
+            return [
+                _user_text(md.strip()),
+                _resource("internal://segments/starred", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error fetching starred segments: {str(e)}")]
+            return [
+                TextContent(
+                    type="text", text=f"Error fetching starred segments: {str(e)}"
+                )
+            ]
 
     @mcp.tool()
     async def explore_segments(
@@ -127,9 +142,14 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                 md += "|------|---------|------------|-----------|----------|\n"
                 for s in data:
                     md += f"| {s['name']} | {s['distance']} | {s['average_grade']} | {s['elevation_difference']} | {s['climb_category']} |\n"
-            return [_user_text(md.strip()), _resource("internal://segments/explore", data)]
+            return [
+                _user_text(md.strip()),
+                _resource("internal://segments/explore", data),
+            ]
         except Exception as e:
-            return [TextContent(type="text", text=f"Error exploring segments: {str(e)}")]
+            return [
+                TextContent(type="text", text=f"Error exploring segments: {str(e)}")
+            ]
 
     @mcp.tool()
     async def get_segment_streams(

src/strava_mcp_server/utils.py

@@ -1,6 +1,7 @@
 from datetime import datetime, timezone
 from typing import Optional
 
+
 def parse_iso_to_unix(iso_str: Optional[str]) -> Optional[int]:
     """
     Parses an ISO 8601 string into a Unix timestamp.
@@ -10,9 +11,9 @@ def parse_iso_to_unix(iso_str: Optional[str]) -> Optional[int]:
         return None
     try:
         # Remove 'Z' and replace with +00:00 for fromisoformat compatibility if needed
-        # but fromisoformat in Python 3.11+ handles Z correctly. 
+        # but fromisoformat in Python 3.11+ handles Z correctly.
         # For older versions or varied formats, we use a slightly more robust approach.
-        clean_iso = iso_str.replace('Z', '+00:00')
+        clean_iso = iso_str.replace("Z", "+00:00")
         dt = datetime.fromisoformat(clean_iso)
         # Ensure it has a timezone; default to UTC if missing
         if dt.tzinfo is None:
@@ -21,40 +22,42 @@ def parse_iso_to_unix(iso_str: Optional[str]) -> Optional[int]:
     except Exception:
         return None
 
+
 def format_date_iso(date_input: Optional[str | datetime]) -> str:
     """
     Standardizes a date string or datetime object to ISO 8601 (UTC).
     """
     if not date_input:
         return "N/A"
-    
+
     try:
         if isinstance(date_input, str):
             # Strava dates are often '2024-01-01T12:00:00Z'
-            dt = datetime.fromisoformat(date_input.replace('Z', '+00:00'))
+            dt = datetime.fromisoformat(date_input.replace("Z", "+00:00"))
         else:
             dt = date_input
 
         if dt.tzinfo is None:
             dt = dt.replace(tzinfo=timezone.utc)
-        
-        return dt.isoformat().replace('+00:00', 'Z')
+
+        return dt.isoformat().replace("+00:00", "Z")
     except Exception:
         return str(date_input)
 
+
 def format_date_human(date_input: Optional[str | datetime]) -> str:
     """
     Returns a human-readable date/time string (DD.MM.YYYY HH:MM).
     """
     if not date_input:
         return "N/A"
-    
+
     try:
         if isinstance(date_input, str):
-            dt = datetime.fromisoformat(date_input.replace('Z', '+00:00'))
+            dt = datetime.fromisoformat(date_input.replace("Z", "+00:00"))
         else:
             dt = date_input
-            
+
         return dt.strftime("%d.%m.%Y %H:%M")
     except Exception:
         return str(date_input)

tests/test_strava.py

@@ -3,37 +3,45 @@ import os
 from strava_client import StravaClient
 from dotenv import load_dotenv
 
+
 async def test_connection():
     load_dotenv()
-    
+
     client_id = os.getenv("STRAVA_CLIENT_ID")
     client_secret = os.getenv("STRAVA_CLIENT_SECRET")
     refresh_token = os.getenv("STRAVA_REFRESH_TOKEN")
-    
+
     if not all([client_id, client_secret, refresh_token]):
         print("❌ Error: Missing Strava credentials in .env file.")
-        print("Please ensure STRAVA_CLIENT_ID, STRAVA_CLIENT_SECRET, and STRAVA_REFRESH_TOKEN are set.")
+        print(
+            "Please ensure STRAVA_CLIENT_ID, STRAVA_CLIENT_SECRET, and STRAVA_REFRESH_TOKEN are set."
+        )
         return
 
     client = StravaClient()
-    
+
     print("Testing Strava connection...")
     try:
         athlete = await client.get_athlete()
-        print(f"✅ Success! Connected as {athlete.get('firstname')} {athlete.get('lastname')}")
+        print(
+            f"✅ Success! Connected as {athlete.get('firstname')} {athlete.get('lastname')}"
+        )
         print(f"Athlete ID: {athlete.get('id')}")
-        
+
         print("\nFetching recent activities...")
         activities = await client.list_activities(limit=3)
         print(f"Found {len(activities)} recent activities:")
         for a in activities:
             print(f"- {a['name']} ({a['type']}) on {a['start_date']}")
-            
+
     except Exception as e:
         print(f"❌ Connection failed: {str(e)}")
         if "401" in str(e):
-            print("Hint: This is likely a scope issue. Your token needs 'activity:read' permission.")
+            print(
+                "Hint: This is likely a scope issue. Your token needs 'activity:read' permission."
+            )
             print("Run: uv run get_token.py  to re-authorize with the correct scopes.")
 
+
 if __name__ == "__main__":
     asyncio.run(test_connection())

tests/unit/__init__.py

@@ -0,0 +1 @@
+# This file marks the tests/unit directory as a Python package.

tests/unit/test_mcp_helpers.py

@@ -0,0 +1,63 @@
+"""Unit tests for MCP content block helper functions."""
+
+import json
+
+from mcp.types import TextContent, EmbeddedResource
+
+# Import helpers directly from a tool module to test them
+from strava_mcp_server.tools.activities import _resource, _user_text
+
+
+class TestUserTextHelper:
+    def test_returns_text_content(self):
+        result = _user_text("Hello World")
+        assert isinstance(result, TextContent)
+
+    def test_type_is_text(self):
+        result = _user_text("Hello")
+        assert result.type == "text"
+
+    def test_text_value(self):
+        result = _user_text("Test message")
+        assert result.text == "Test message"
+
+    def test_audience_is_user(self):
+        result = _user_text("Hello")
+        assert result.annotations is not None
+        assert result.annotations.audience == ["user"]
+
+
+class TestResourceHelper:
+    def test_returns_embedded_resource(self):
+        result = _resource("internal://test/data", {"key": "value"})
+        assert isinstance(result, EmbeddedResource)
+
+    def test_type_is_resource(self):
+        result = _resource("internal://test/data", {"key": "value"})
+        assert result.type == "resource"
+
+    def test_mime_type_is_json(self):
+        result = _resource("internal://test/data", {"key": "value"})
+        assert result.resource.mimeType == "application/json"
+
+    def test_uri_is_set(self):
+        result = _resource("internal://athlete/profile", {"id": 1})
+        assert str(result.resource.uri) == "internal://athlete/profile"
+
+    def test_text_is_valid_json(self):
+        data = {"id": 42, "name": "Test Athlete", "active": True}
+        result = _resource("internal://test", data)
+        parsed = json.loads(result.resource.text)
+        assert parsed == data
+
+    def test_audience_is_assistant(self):
+        result = _resource("internal://test", {})
+        assert result.annotations is not None
+        assert result.annotations.audience == ["assistant"]
+
+    def test_list_data(self):
+        data = [{"id": 1}, {"id": 2}]
+        result = _resource("internal://activities/list", data)
+        parsed = json.loads(result.resource.text)
+        assert len(parsed) == 2
+        assert parsed[0]["id"] == 1

tests/unit/test_utils.py

@@ -0,0 +1,98 @@
+"""Unit tests for strava_mcp_server.utils — pure functions, no external dependencies."""
+
+from datetime import datetime, timezone
+
+from strava_mcp_server.utils import (
+    parse_iso_to_unix,
+    format_date_iso,
+    format_date_human,
+)
+
+
+class TestParseIsoToUnix:
+    def test_full_iso_with_z(self):
+        result = parse_iso_to_unix("2024-01-15T12:00:00Z")
+        assert result == int(
+            datetime(2024, 1, 15, 12, 0, 0, tzinfo=timezone.utc).timestamp()
+        )
+
+    def test_full_iso_with_offset(self):
+        result = parse_iso_to_unix("2024-01-15T13:00:00+01:00")
+        assert result == int(
+            datetime(2024, 1, 15, 12, 0, 0, tzinfo=timezone.utc).timestamp()
+        )
+
+    def test_date_only(self):
+        result = parse_iso_to_unix("2024-06-01")
+        assert result == int(
+            datetime(2024, 6, 1, 0, 0, 0, tzinfo=timezone.utc).timestamp()
+        )
+
+    def test_none_returns_none(self):
+        assert parse_iso_to_unix(None) is None
+
+    def test_empty_string_returns_none(self):
+        assert parse_iso_to_unix("") is None
+
+    def test_invalid_string_returns_none(self):
+        assert parse_iso_to_unix("not-a-date") is None
+
+    def test_returns_int(self):
+        result = parse_iso_to_unix("2024-01-01T00:00:00Z")
+        assert isinstance(result, int)
+
+
+class TestFormatDateIso:
+    def test_z_suffix_normalized(self):
+        result = format_date_iso("2024-01-15T12:00:00Z")
+        assert result == "2024-01-15T12:00:00Z"
+
+    def test_offset_preserved(self):
+        # format_date_iso preserves timezone offset info; normalization to UTC
+        # is the caller's responsibility if needed.
+        result = format_date_iso("2024-01-15T13:00:00+01:00")
+        assert result == "2024-01-15T13:00:00+01:00"
+
+    def test_datetime_object(self):
+        dt = datetime(2024, 3, 10, 8, 30, 0, tzinfo=timezone.utc)
+        result = format_date_iso(dt)
+        assert result == "2024-03-10T08:30:00Z"
+
+    def test_none_returns_na(self):
+        assert format_date_iso(None) == "N/A"
+
+    def test_empty_string_returns_na(self):
+        assert format_date_iso("") == "N/A"
+
+    def test_invalid_string_returned_as_is(self):
+        result = format_date_iso("not-a-date")
+        assert result == "not-a-date"
+
+
+class TestFormatDateHuman:
+    def test_iso_with_z(self):
+        result = format_date_human("2024-01-15T08:30:00Z")
+        assert result == "15.01.2024 08:30"
+
+    def test_iso_with_offset(self):
+        # +01:00 → displayed in local time of the datetime (13:00 in +01 = 13:00 displayed)
+        result = format_date_human("2024-01-15T13:45:00+01:00")
+        assert result == "15.01.2024 13:45"
+
+    def test_datetime_object(self):
+        dt = datetime(2024, 12, 31, 23, 59, tzinfo=timezone.utc)
+        result = format_date_human(dt)
+        assert result == "31.12.2024 23:59"
+
+    def test_none_returns_na(self):
+        assert format_date_human(None) == "N/A"
+
+    def test_empty_string_returns_na(self):
+        assert format_date_human("") == "N/A"
+
+    def test_format_pattern(self):
+        result = format_date_human("2024-06-01T00:00:00Z")
+        # Ensure it matches DD.MM.YYYY HH:MM
+        import re
+
+        assert re.match(r"\d{2}\.\d{2}\.\d{4} \d{2}:\d{2}", result)

uv.lock

@@ -48,6 +48,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
 ]
 
+[[package]]
+name = "backports-asyncio-runner"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8e/ff/70dca7d7cb1cbc0edb2c6cc0c38b65cba36cccc491eca64cabd5fe7f8670/backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162", size = 69893, upload-time = "2025-07-02T02:27:15.685Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2026.4.22"
@@ -303,6 +312,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5d/13/ad7d7ca3808a898b4612b6fe93cde56b53f3034dcde235acb1f0e1df24c6/idna-3.13-py3-none-any.whl", hash = "sha256:892ea0cde124a99ce773decba204c5552b69c3c67ffd5f232eb7696135bc8bb3", size = 68629, upload-time = "2026-04-22T16:42:40.909Z" },
 ]
 
+[[package]]
+name = "iniconfig"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cb/b1/3846dd7f199d53cb17f49cba7e651e9ce294d8497c8c150530ed11865bb8/iniconfig-2.3.0-py3-none-any.whl", hash = "sha256:f631c04d2c48c52b84d0d0549c99ff3859c98df65b3101406327ecc7d53fbf12", size = 7484, upload-time = "2025-10-18T21:55:41.639Z" },
+]
+
 [[package]]
 name = "jsonschema"
 version = "4.26.0"
@@ -382,6 +400,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979, upload-time = "2022-08-14T12:40:09.779Z" },
 ]
 
+[[package]]
+name = "packaging"
+version = "26.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d7/f1/e7a6dd94a8d4a5626c03e4e99c87f241ba9e350cd9e6d75123f992427270/packaging-26.2.tar.gz", hash = "sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661", size = 228134, upload-time = "2026-04-24T20:15:23.917Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/b2/87e62e8c3e2f4b32e5fe99e0b86d576da1312593b39f47d8ceef365e95ed/packaging-26.2-py3-none-any.whl", hash = "sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e", size = 100195, upload-time = "2026-04-24T20:15:22.081Z" },
+]
+
+[[package]]
+name = "pluggy"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/e2/3e91f31a7d2b083fe6ef3fa267035b518369d9511ffab804f839851d2779/pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3", size = 69412, upload-time = "2025-05-15T12:30:07.975Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/54/20/4d324d65cc6d9205fabedc306948156824eb9f0ee1633355a8f7ec5c66bf/pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746", size = 20538, upload-time = "2025-05-15T12:30:06.134Z" },
+]
+
 [[package]]
 name = "pycparser"
 version = "3.0"
@@ -562,6 +598,51 @@ crypto = [
     { name = "cryptography" },
 ]
 
+[[package]]
+name = "pytest"
+version = "9.0.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
+    { name = "iniconfig" },
+    { name = "packaging" },
+    { name = "pluggy" },
+    { name = "pygments" },
+    { name = "tomli", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
+]
+
+[[package]]
+name = "pytest-asyncio"
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 [package.dev-dependencies]
 dev = [
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+]
 
 [[package]]
 name = "typer"

website/index.html

@@ -0,0 +1,206 @@
+<!DOCTYPE html>
+<html lang="de">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Strava MCP Server | Modern Training Data Access</title>
+    <link rel="stylesheet" href="style.css">
+</head>
+
+<body>
+    <div class="bg-gradient"></div>
+
+    <div class="container">
+        <nav>
+            <div class="logo">STRAVA<span>MCP</span></div>
+            <ul class="nav-links">
+                <li><a href="#features" data-i18n="nav-features">Features</a></li>
+                <li><a href="#architecture" data-i18n="nav-arch">Architecture</a></li>
+                <li><a href="#installation" data-i18n="nav-install">Installation</a></li>
+                <li><a href="https://git.hnrx.net/hnrx/strava-mcp-server" data-i18n="nav-repo">GitHub</a></li>
+            </ul>
+            <div class="lang-switch">
+                <button class="lang-btn active" onclick="setLanguage('en')">EN</button>
+                <button class="lang-btn" onclick="setLanguage('de')">DE</button>
+            </div>
+        </nav>
+
+        <header class="hero">
+            <img src="assets/hero.png" alt="Futuristic Background" class="hero-img">
+            <h1 data-i18n="hero-title">Empower your AI with Strava Data.</h1>
+            <p data-i18n="hero-subtitle">A production-ready Model Context Protocol (MCP) server that exposes the Strava
+                API for AI agents and LLMs.</p>
+            <div class="btn-group">
+                <a href="https://git.hnrx.net/hnrx/strava-mcp-server" class="btn btn-primary" data-i18n="btn-start">Get
+                    Started</a>
+                <a href="#architecture" class="btn btn-secondary" data-i18n="btn-more">Learn More</a>
+            </div>
+        </header>
+
+        <section id="features">
+            <div class="section-title">
+                <h2 data-i18n="features-title">Features</h2>
+                <p data-i18n="features-subtitle">Comprehensive access to your training data through standardized MCP
+                    tools.</p>
+            </div>
+            <div class="grid">
+                <div class="card">
+                    <span class="card-icon">👤</span>
+                    <h3 data-i18n="feat-1-t">Athlete Profiles</h3>
+                    <p data-i18n="feat-1-d">Detailed profiles, heart rate zones, and power stats for personalized
+                        analysis.</p>
+                </div>
+                <div class="card">
+                    <span class="card-icon">🚴</span>
+                    <h3 data-i18n="feat-2-t">Activity Deep-Dive</h3>
+                    <p data-i18n="feat-2-d">Access laps, streams, comments, and detailed segment efforts.</p>
+                </div>
+                <div class="card">
+                    <span class="card-icon">📍</span>
+                    <h3 data-i18n="feat-3-t">Segments & Routes</h3>
+                    <p data-i18n="feat-3-d">Explore popular segments and your saved routes with all metadata.</p>
+                </div>
+                <div class="card">
+                    <span class="card-icon">⚙️</span>
+                    <h3 data-i18n="feat-4-t">Hardware Tracking</h3>
+                    <p data-i18n="feat-4-d">Manage your equipment and track the mileage of your bikes and shoes.</p>
+                </div>
+            </div>
+        </section>
+
+        <section id="architecture" class="architecture">
+            <div>
+                <h2 data-i18n="arch-title">Dual-Output Architecture</h2>
+                <p data-i18n="arch-p">Optimized for both humans and machines. Every tool delivers two outputs:</p>
+                <br>
+                <ul style="list-style: none; color: var(--text-dim);">
+                    <li style="margin-bottom: 1rem;"><strong style="color: var(--primary);" data-i18n="arch-user-t">User
+                            Content:</strong> <span data-i18n="arch-user-d">Formatted markdown for an aesthetic display
+                            in the chat.</span></li>
+                    <li><strong style="color: #fff;" data-i18n="arch-llm-t">Assistant Resource:</strong> <span
+                            data-i18n="arch-llm-d">Structured JSON for precise data processing by the LLM.</span></li>
+                </ul>
+            </div>
+            <div class="code-window">
+                <div class="code-header">
+                    <div class="dot red"></div>
+                    <div class="dot yellow"></div>
+                    <div class="dot green"></div>
+                </div>
+                <div class="code-content">
+                    <pre>
+<span class="comment">// JSON Resource for Assistant</span>
+{
+  <span class="keyword">"id"</span>: <span class="string">"12345678"</span>,
+  <span class="keyword">"name"</span>: <span class="string">"Morning Ride"</span>,
+  <span class="keyword">"distance"</span>: <span class="string">"45200"</span>,
+  <span class="keyword">"moving_time"</span>: <span class="string">"5400"</span>,
+  <span class="keyword">"audience"</span>: [<span class="string">"assistant"</span>]
+}</pre>
+                </div>
+            </div>
+        </section>
+
+        <section id="installation" class="quick-start">
+            <h2 data-i18n="install-title">Quick Start</h2>
+            <p data-i18n="install-p">Start the server locally with a single command via UV.</p>
+            <div class="terminal">
+                <span>$</span> uv run strava-mcp-server
+            </div>
+        </section>
+
+        <footer>
+            <p>&copy; 2024 Strava MCP Server. Build for high-performance AI Agents.</p>
+        </footer>
+    </div>
+
+    <script>
+        const translations = {
+            en: {
+                "nav-features": "Features",
+                "nav-arch": "Architecture",
+                "nav-install": "Installation",
+                "nav-repo": "Source",
+                "hero-title": "Empower your AI with Strava Data.",
+                "hero-subtitle": "A production-ready Model Context Protocol (MCP) server that exposes the Strava API for AI agents and LLMs.",
+                "btn-start": "Get Started",
+                "btn-more": "Learn More",
+                "features-title": "Features",
+                "features-subtitle": "Comprehensive access to your training data through standardized MCP tools.",
+                "feat-1-t": "Athlete Profiles",
+                "feat-1-d": "Detailed profiles, heart rate zones, and power stats for personalized analysis.",
+                "feat-2-t": "Activity Deep-Dive",
+                "feat-2-d": "Access laps, streams, comments, and detailed segment efforts.",
+                "feat-3-t": "Segments & Routes",
+                "feat-3-d": "Explore popular segments and your saved routes with all metadata.",
+                "feat-4-t": "Hardware Tracking",
+                "feat-4-d": "Manage your equipment and track the mileage of your bikes and shoes.",
+                "arch-title": "Dual-Output Architecture",
+                "arch-p": "Optimized for both humans and machines. Every tool delivers two outputs:",
+                "arch-user-t": "User Content:",
+                "arch-user-d": "Formatted markdown for an aesthetic display in the chat.",
+                "arch-llm-t": "Assistant Resource:",
+                "arch-llm-d": "Structured JSON for precise data processing by the LLM.",
+                "install-title": "Quick Start",
+                "install-p": "Start the server locally with a single command via UV."
+            },
+            de: {
+                "nav-features": "Funktionen",
+                "nav-arch": "Architektur",
+                "nav-install": "Installation",
+                "nav-repo": "Quellcode",
+                "hero-title": "Analysiere deine Strava-Daten mit KI-Power.",
+                "hero-subtitle": "Ein produktionsreifer Model Context Protocol (MCP) Server, der die Strava API für AI Agents und LLMs nutzbar macht.",
+                "btn-start": "Loslegen",
+                "btn-more": "Mehr erfahren",
+                "features-title": "Funktionen",
+                "features-subtitle": "Umfangreicher Zugriff auf deine Trainingsdaten über standardisierte MCP Tools.",
+                "feat-1-t": "Athleten-Profile",
+                "feat-1-d": "Detaillierte Profile, Herzfrequenz-Zonen und Power-Stats für personalisierte Analysen.",
+                "feat-2-t": "Aktivitäts-Analyse",
+                "feat-2-d": "Zugriff auf Laps, Streams, Kommentare und detaillierte Segment-Efforts.",
+                "feat-3-t": "Segmente & Routen",
+                "feat-3-d": "Erkunde beliebte Segmente und deine gespeicherten Routen mit allen Metadaten.",
+                "feat-4-t": "Hardware-Tracking",
+                "feat-4-d": "Verwalte deine Ausrüstung und verfolge die Laufleistung deiner Bikes und Schuhe.",
+                "arch-title": "Dual-Output Architektur",
+                "arch-p": "Optimiert für Mensch und Maschine. Jedes Tool liefert zwei Ausgaben:",
+                "arch-user-t": "User Content:",
+                "arch-user-d": "Formatiertes Markdown für eine ästhetische Anzeige im Chat.",
+                "arch-llm-t": "Assistant Resource:",
+                "arch-llm-d": "Strukturiertes JSON für präzise Datenverarbeitung durch das LLM.",
+                "install-title": "Schnellstart",
+                "install-p": "Starte den Server lokal mit nur einem Befehl über UV."
+            }
+        };
+
+        function setLanguage(lang) {
+            localStorage.setItem('preferredLang', lang);
+
+            // Update all text elements
+            document.querySelectorAll('[data-i18n]').forEach(el => {
+                const key = el.getAttribute('data-i18n');
+                if (translations[lang][key]) {
+                    el.textContent = translations[lang][key];
+                }
+            });
+
+            // Update toggle buttons
+            document.querySelectorAll('.lang-btn').forEach(btn => {
+                btn.classList.remove('active');
+                if (btn.textContent.toLowerCase() === lang) {
+                    btn.classList.add('active');
+                }
+            });
+
+            document.documentElement.lang = lang;
+        }
+
+        // Initialize from storage or browser language
+        const savedLang = localStorage.getItem('preferredLang') || (navigator.language.startsWith('de') ? 'de' : 'en');
+        setLanguage(savedLang);
+    </script>
+</body>
+
+</html>

website/style.css

@@ -0,0 +1,325 @@
+@import url('https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;600;800&display=swap');
+
+:root {
+    --primary: #FC4C02;
+    --primary-glow: rgba(252, 76, 2, 0.4);
+    --bg-dark: #0A0A0A;
+    --bg-card: rgba(255, 255, 255, 0.05);
+    --text-main: #FFFFFF;
+    --text-dim: #A0A0A0;
+    --glass-border: rgba(255, 255, 255, 0.1);
+    --transition: all 0.4s cubic-bezier(0.16, 1, 0.3, 1);
+}
+
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: 'Outfit', sans-serif;
+    background-color: var(--bg-dark);
+    color: var(--text-main);
+    line-height: 1.6;
+    overflow-x: hidden;
+}
+
+/* Background Effects */
+.bg-gradient {
+    position: fixed;
+    top: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    background: radial-gradient(circle at 80% 20%, #1a100a 0%, transparent 40%),
+                radial-gradient(circle at 10% 80%, #0d0a14 0%, transparent 40%);
+    z-index: -1;
+}
+
+/* Layout */
+.container {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 0 2rem;
+}
+
+/* Navigation */
+nav {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 2rem 0;
+    backdrop-filter: blur(10px);
+    position: sticky;
+    top: 0;
+    z-index: 100;
+}
+
+.logo {
+    font-size: 1.5rem;
+    font-weight: 800;
+    letter-spacing: -1px;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+}
+
+.logo span {
+    color: var(--primary);
+}
+
+.nav-links {
+    display: flex;
+    gap: 2.5rem;
+    list-style: none;
+}
+
+.nav-links a {
+    color: var(--text-dim);
+    text-decoration: none;
+    font-size: 0.9rem;
+    font-weight: 500;
+    transition: var(--transition);
+}
+
+.nav-links a:hover {
+    color: var(--primary);
+}
+
+.lang-switch {
+    display: flex;
+    gap: 0.5rem;
+    background: rgba(255, 255, 255, 0.05);
+    padding: 0.25rem;
+    border-radius: 100px;
+    border: 1px solid var(--glass-border);
+}
+
+.lang-btn {
+    padding: 0.4rem 0.8rem;
+    border-radius: 100px;
+    font-size: 0.75rem;
+    font-weight: 600;
+    cursor: pointer;
+    border: none;
+    background: transparent;
+    color: var(--text-dim);
+    transition: var(--transition);
+}
+
+.lang-btn.active {
+    background: var(--primary);
+    color: white;
+}
+
+/* Hero Section */
+.hero {
+    padding: 8rem 0;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    text-align: center;
+    position: relative;
+}
+
+.hero-img {
+    position: absolute;
+    top: 50%;
+    left: 50%;
+    transform: translate(-50%, -50%);
+    width: 140%;
+    opacity: 0.15;
+    pointer-events: none;
+    z-index: -1;
+}
+
+.hero h1 {
+    font-size: 5rem;
+    font-weight: 800;
+    line-height: 1.1;
+    margin-bottom: 1.5rem;
+    background: linear-gradient(to bottom, #fff 40%, #888);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+}
+
+.hero p {
+    font-size: 1.25rem;
+    color: var(--text-dim);
+    max-width: 600px;
+    margin-bottom: 3rem;
+}
+
+.btn-group {
+    display: flex;
+    gap: 1.5rem;
+}
+
+.btn {
+    padding: 1rem 2.5rem;
+    border-radius: 100px;
+    font-weight: 600;
+    text-decoration: none;
+    transition: var(--transition);
+    font-size: 1rem;
+}
+
+.btn-primary {
+    background: var(--primary);
+    color: white;
+    box-shadow: 0 10px 30px var(--primary-glow);
+}
+
+.btn-primary:hover {
+    transform: translateY(-5px);
+    box-shadow: 0 15px 40px var(--primary-glow);
+}
+
+.btn-secondary {
+    background: rgba(255, 255, 255, 0.05);
+    color: white;
+    border: 1px solid var(--glass-border);
+    backdrop-filter: blur(10px);
+}
+
+.btn-secondary:hover {
+    background: rgba(255, 255, 255, 0.1);
+}
+
+/* Features Grid */
+.section-title {
+    text-align: center;
+    margin-bottom: 4rem;
+}
+
+.section-title h2 {
+    font-size: 3rem;
+    margin-bottom: 1rem;
+}
+
+.grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 2rem;
+    margin-bottom: 8rem;
+}
+
+.card {
+    background: var(--bg-card);
+    border: 1px solid var(--glass-border);
+    padding: 3rem;
+    border-radius: 2rem;
+    transition: var(--transition);
+    backdrop-filter: blur(20px);
+}
+
+.card:hover {
+    border-color: var(--primary);
+    transform: translateY(-10px);
+    background: rgba(252, 76, 2, 0.03);
+}
+
+.card-icon {
+    font-size: 2.5rem;
+    margin-bottom: 1.5rem;
+    display: block;
+}
+
+.card h3 {
+    font-size: 1.5rem;
+    margin-bottom: 1rem;
+}
+
+.card p {
+    color: var(--text-dim);
+}
+
+/* Code Preview Section */
+.architecture {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 4rem;
+    align-items: center;
+    margin-bottom: 8rem;
+    background: rgba(255, 255, 255, 0.02);
+    padding: 4rem;
+    border-radius: 3rem;
+    border: 1px solid var(--glass-border);
+}
+
+.code-window {
+    background: #000;
+    border-radius: 1rem;
+    overflow: hidden;
+    border: 1px solid var(--glass-border);
+    box-shadow: 0 30px 60px rgba(0,0,0,0.5);
+}
+
+.code-header {
+    background: #1A1A1A;
+    padding: 0.75rem 1rem;
+    display: flex;
+    gap: 0.5rem;
+}
+
+.dot {
+    width: 12px;
+    height: 12px;
+    border-radius: 50%;
+}
+
+.red { background: #FF5F56; }
+.yellow { background: #FFBD2E; }
+.green { background: #27C93F; }
+
+.code-content {
+    padding: 1.5rem;
+    font-family: 'Monaco', 'Consolas', monospace;
+    font-size: 0.85rem;
+    color: #f8f8f2;
+}
+
+.code-content pre {
+    white-space: pre-wrap;
+}
+
+.keyword { color: #ff79c6; }
+.string { color: #f1fa8c; }
+.comment { color: #6272a4; }
+
+/* Quick Start */
+.quick-start {
+    text-align: center;
+    max-width: 800px;
+    margin: 0 auto 8rem;
+}
+
+.terminal {
+    background: #111;
+    padding: 1.5rem 2rem;
+    border-radius: 1rem;
+    font-family: monospace;
+    margin-top: 2rem;
+    display: inline-block;
+    border: 1px solid var(--glass-border);
+}
+
+.terminal span {
+    color: var(--primary);
+    margin-right: 1rem;
+}
+
+footer {
+    padding: 4rem 0;
+    border-top: 1px solid var(--glass-border);
+    text-align: center;
+    color: var(--text-dim);
+}
+
+/* Mobile Responsiveness */
+@media (max-width: 768px) {
+    .hero h1 { font-size: 3rem; }
+    .architecture { grid-template-columns: 1fr; padding: 2rem; }
+    .nav-links { display: none; }
+}