Initial commit: Modularized Strava MCP Server with UV and Hatchling

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# Strava API Credentials
# Get these from https://www.strava.com/settings/api
STRAVA_CLIENT_ID=your_client_id
STRAVA_CLIENT_SECRET=your_client_secret
# Initial refresh token obtained via OAuth2 flow
STRAVA_REFRESH_TOKEN=your_refresh_token
# Optional: Server configuration
PORT=8000
HOST=0.0.0.0
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# Environment variables (CRITICAL: DO NOT COMMIT SECRETS)
.env
# Virtual environments
.venv/
venv/
env/
# Python caches and compiled files
__pycache__/
*.py[cod]
*$py.class
*.so
# Ruff / Linting
.ruff_cache/
# Build and distribution directories
dist/
build/
*.egg-info/
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
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# 🚴 Strava MCP Server
A production-ready **Model Context Protocol (MCP) server** that exposes the Strava API v3 as MCP-compatible tools, resources, and prompts — enabling AI agents and LLM-based applications to query your Strava training data through a standardized interface.
Built with [FastMCP](https://github.com/jlowin/fastmcp) and the [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk), compatible with MCP Inspector, Claude Desktop, and any MCP-compliant client.
---
## ✨ Features
- 🛠️ **25+ MCP Tools** covering all major Strava API read endpoints (including athlete profile & stats)
- 💬 **2 MCP Prompts** for structured AI-driven training analysis
- 🔄 **Automatic OAuth token rotation** — tokens are refreshed transparently
- 🌐 **Streamable HTTP transport** for broad client compatibility
- 🔒 **Read-only** — no write operations, safe to use with AI agents
---
## 📋 Table of Contents
- [Requirements](#requirements)
- [Installation](#installation)
- [Strava API Setup](#strava-api-setup)
- [Configuration](#configuration)
- [Running the Server](#running-the-server)
- [Connecting with MCP Inspector](#connecting-with-mcp-inspector)
- [MCP Primitives](#mcp-primitives)
- [Tools](#tools)
- [Prompts](#prompts)
- [Project Structure](#project-structure)
- [Known Strava API Limitations](#known-strava-api-limitations)
- [Troubleshooting](#troubleshooting)
---
## Requirements
- Python 3.10+
- [uv](https://github.com/astral-sh/uv) (recommended) or pip
- A [Strava account](https://www.strava.com) with API access
- A [Strava API Application](https://www.strava.com/settings/api)
---
## Installation
```bash
# Clone the repository
git clone <your-repo-url>
cd strava-mcp-server
# Install dependencies with uv (also installs the package itself)
uv sync
# Or install directly from PyPI (once published)
uvx strava-mcp-server
# or: pip install strava-mcp-server
```
---
## Strava API Setup
### 1. Create a Strava API Application
1. Go to [https://www.strava.com/settings/api](https://www.strava.com/settings/api)
2. Create a new application
3. Set **Authorization Callback Domain** to `localhost`
4. Note your **Client ID** and **Client Secret**
### 2. Generate Your OAuth Tokens
The server uses the OAuth 2.0 refresh token flow. Run the token helper script to authorize and retrieve your initial tokens:
```bash
uv run strava-mcp-get-token
```
This will:
1. Open your browser with the Strava authorization page
2. Ask you to authorize the application
3. Automatically capture the authorization code
4. Exchange it for access and refresh tokens
5. Save the `STRAVA_REFRESH_TOKEN` to your `.env` file
> **Required OAuth Scopes:**
> `activity:read_all,profile:read_all,read`
>
> - `activity:read_all` — Access all activities including private ones
> - `profile:read_all` — Access full profile info including heart rate zones
> - `read` — Access public data
---
## Configuration
Copy the example environment file and fill in your credentials:
```bash
cp .env.example .env
```
Edit `.env`:
```env
STRAVA_CLIENT_ID=your_client_id_here
STRAVA_CLIENT_SECRET=your_client_secret_here
STRAVA_REFRESH_TOKEN=your_refresh_token_here
```
> **Note:** The `STRAVA_REFRESH_TOKEN` is written automatically by `get_token.py`. You only need to fill in `STRAVA_CLIENT_ID` and `STRAVA_CLIENT_SECRET` manually.
---
## Running the Server
```bash
uv run strava-mcp
```
Expected output:
```
🚀 Starting Strava MCP Server on http://0.0.0.0:8000
MCP endpoint: http://0.0.0.0:8000/mcp (Streamable HTTP)
INFO: Started server process [12345]
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
```
The server listens on **port 8000** by default and exposes a single endpoint:
```
http://localhost:8000/mcp
```
### Stopping the Server
Press `Ctrl+C` for a clean shutdown. If the port is already in use from a previous run:
```bash
lsof -ti :8000 | xargs kill -9
```
---
## Connecting with MCP Inspector
1. Open [MCP Inspector](https://inspector.modelcontextprotocol.io/) or run it locally
2. Select transport: **Streamable HTTP**
3. Enter URL: `http://localhost:8000/mcp`
4. Click **Connect**
> ⚠️ Make sure to use `http://localhost:8000/mcp` **without a trailing slash** and with the `Accept: application/json, text/event-stream` header (handled automatically by MCP clients).
### Claude Desktop
Add to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"strava": {
"url": "http://localhost:8000/mcp",
"transport": "streamable-http"
}
}
}
```
---
## MCP Primitives
### Tools
#### 🏃 Athlete
| Tool | Parameters | Description |
|------|-----------|-------------|
| `get_athlete_profile` | — | Full athlete profile: name, city, country, follower count, gear list |
| `get_athlete_stats` | — | Training totals: all-time, year-to-date, and last 4 weeks for runs, rides, and swims |
| `get_athlete_zones` | — | Heart rate and power zones |
#### 🚴 Activities
| Tool | Parameters | Description |
|------|-----------|-------------|
| `list_activities` | `limit`, `page`, `before`*, `after`* | Paginated activity list with optional time range filters |
| `get_activity_details` | `activity_id` | Full activity details incl. segment efforts (IDs returned as strings) |
| `get_activity_laps` | `activity_id` | Lap splits |
| `get_activity_zones` | `activity_id` | Heart rate and power zones for a specific activity |
| `get_activity_comments` | `activity_id`, `limit` | Comments on an activity |
| `get_activity_kudoers` | `activity_id`, `limit` | Athletes who gave kudos |
| `get_activity_streams` | `activity_id`, `keys` | Raw GPS/sensor data streams |
> *`before` and `after` are Unix timestamps. Example: `after=1704067200` = since 2024-01-01.
#### 🏛️ Clubs
| Tool | Parameters | Description |
|------|-----------|-------------|
| `list_athlete_clubs` | `limit` | Clubs the athlete is a member of |
| `get_club` | `club_id` | Club details |
| `get_club_activities` | `club_id`, `limit` | Recent club activity feed |
| `get_club_members` | `club_id`, `limit` | Club members |
#### 🗺️ Routes
| Tool | Parameters | Description |
|------|-----------|-------------|
| `get_routes_by_athlete_id` | `limit` | Athlete's created routes |
| `get_route_by_id` | `route_id: str` | Route details including segments |
| `get_route_streams` | `route_id: str` | Route GPS/elevation streams |
> ⚠️ Route IDs are returned as **strings** to prevent JavaScript float precision loss (IDs exceed `Number.MAX_SAFE_INTEGER`).
#### 📍 Segments
| Tool | Parameters | Description |
|------|-----------|-------------|
| `get_segment` | `segment_id` | Segment details, grade, elevation, effort counts |
| `list_starred_segments` | `limit` | Segments starred by the athlete |
| `explore_segments` | `bounds`, `activity_type` | Discover popular segments in a geographic bounding box |
| `get_segment_streams` | `segment_id`, `keys` | Segment GPS/elevation streams |
#### ⚡ Segment Efforts
| Tool | Parameters | Description |
|------|-----------|-------------|
| `get_segment_effort` | `effort_id: str` | Details for a specific effort — requires Strava subscription |
| `list_segment_efforts` | `segment_id`, `start_date_local`, `end_date_local`, `limit` | Athlete's efforts on a segment — requires Strava subscription |
| `get_segment_effort_streams` | `effort_id: str`, `keys` | Raw streams for a segment effort — requires Strava subscription |
> ️ **Effort IDs** must be copied as strings from `get_activity_details` response. Do not retype the numbers manually — they exceed JavaScript's safe integer range.
#### ⚙️ Gear
| Tool | Parameters | Description |
|------|-----------|-------------|
| `get_gear_by_id` | `gear_id: str` | Bike or shoe details: brand, model, total distance |
> Gear IDs start with `b` for bikes and `g` for shoes (e.g. `b12345678`). Find them in `get_activity_details` under `gear_id`.
### Prompts
Prompts pre-structure AI conversations with the right tool-calling instructions.
#### `analyze_activity`
```
Parameters: activity_id (str)
```
Triggers a structured analysis of a specific activity including summary, performance metrics, segment highlights, gear used, and key takeaways.
#### `training_summary`
```
Parameters: weeks (int, default: 4)
```
Generates a training load report for the last N weeks: volume by sport, highlights, trend vs. year-to-date, and recommendations. Automatically calculates the required Unix timestamp for filtering.
---
## Project Structure
```
strava-mcp-server/
├── src/
│ └── strava_mcp/ # Installable Python package
│ ├── __init__.py
│ ├── main.py # Server entrypoint → strava-mcp command
│ ├── tools.py # All MCP tools, resources, and prompts
│ ├── strava_client.py # Strava API client with auto token rotation
│ └── get_token.py # OAuth2 flow → strava-mcp-get-token command
├── tests/
│ └── test_strava.py # Manual API integration tests
├── pyproject.toml # Package metadata, dependencies, entry points
├── .env # Credentials (not committed)
├── .env.example # Credential template
├── TODO.md # Planned next steps
└── README.md # This file
```
---
## Known Strava API Limitations
The following endpoints are **restricted by Strava** and return errors for regular API users:
| Endpoint | Status | Reason |
|----------|--------|--------|
| `GET /segments/{id}/leaderboard` | `403 Forbidden` | Requires Strava API partnership |
| `GET /segment_efforts/{id}` | `403 Forbidden` | Requires Strava API partnership |
| `GET /segment_efforts?segment_id=X` | `200 []` (empty) | Silently restricted since 2018 — data accessible via `get_activity_details` |
| `GET /athlete/zones` | `401 Unauthorized` | Requires `profile:read_all` OAuth scope |
> **Workaround for segment efforts:** Use `get_activity_details` to access segment efforts embedded in activity data. The `segment_efforts[]` array contains effort IDs, times, heart rate, power, and PR/KOM ranks.
---
## Troubleshooting
### `[Errno 48] Address already in use`
Port 8000 is occupied by a previous server process:
```bash
lsof -ti :8000 | xargs kill -9
```
### `401 Unauthorized` on token refresh
Your refresh token has expired or been rotated. Generate a new one:
```bash
uv run strava-mcp-get-token
```
### Empty results from `list_segment_efforts`
The direct Strava endpoint is restricted. Access segment efforts via `get_activity_details` instead — the full activity response includes all segment efforts.
### `406 Not Acceptable` from MCP endpoint
The MCP client is missing the required `Accept: application/json, text/event-stream` header. Use a proper MCP client (MCP Inspector, Claude Desktop) instead of raw `curl`.
### Route or effort `404 Not Found` with a large ID
The ID was truncated due to JavaScript float precision. Always use the **string IDs** returned by the server — never copy-type large numeric IDs manually.
---
## Tech Stack
| Component | Library |
|-----------|---------|
| MCP Server | [FastMCP](https://github.com/jlowin/fastmcp) |
| HTTP Transport | Uvicorn + Starlette (via FastMCP) |
| Strava API Client | [httpx](https://www.python-httpx.org/) |
| Environment Config | [python-dotenv](https://github.com/theskumar/python-dotenv) |
| Package Manager | [uv](https://github.com/astral-sh/uv) |
---
## License
MIT
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# Strava MCP Server — Next Steps
## 🐳 Docker Container bauen
- [ ] `Dockerfile` erstellen (Python-Base-Image, `uv`-basiert)
- [ ] `.dockerignore` anlegen (`.env`, `__pycache__`, `.venv` etc.)
- [ ] Umgebungsvariablen via `--env-file` oder Docker Secrets einbinden
- [ ] `docker-compose.yml` für lokales Testing
- [ ] Image testen: `docker run -p 8000:8000 strava-mcp-server`
---
## 🔁 Gitea Action erstellen
- [ ] `.gitea/workflows/` Verzeichnis anlegen
- [ ] CI-Workflow definieren (Lint + ggf. Syntax-Check)
- [ ] Build & Push des Docker Images in Gitea Container Registry
- [ ] Secrets in Gitea hinterlegen (`STRAVA_CLIENT_ID`, `STRAVA_CLIENT_SECRET`)
- [ ] Optional: Auto-Deploy auf Server nach erfolgreichem Build
---
## 🔑 Anmeldung vereinfachen
- [ ] OAuth-Flow direkt in den Server integrieren (kein separates `get_token.py` mehr)
- [ ] Callback-Endpoint `/auth/callback` im FastMCP-Server ergänzen
- [ ] `STRAVA_REFRESH_TOKEN` automatisch in `.env` zurückschreiben nach Token-Rotation
- [ ] Optionaler Hinweis beim Start falls kein Token vorhanden ist
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "strava-mcp-server"
version = "0.1.0"
description = "A Model Context Protocol (MCP) server that exposes the Strava API v3 as tools, resources, and prompts for AI agents."
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.10"
keywords = ["strava", "mcp", "model-context-protocol", "ai", "llm", "fitness"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Internet :: WWW/HTTP :: HTTP Servers",
]
dependencies = [
"fastapi",
"uvicorn",
"mcp[cli]",
"httpx",
"python-dotenv",
]
[project.urls]
Homepage = "https://github.com/your-username/strava-mcp-server"
Repository = "https://github.com/your-username/strava-mcp-server"
"Bug Tracker" = "https://github.com/your-username/strava-mcp-server/issues"
[project.scripts]
strava-mcp = "strava_mcp_server.main:main"
strava-mcp-get-token = "strava_mcp_server.get_token:main"
[dependency-groups]
dev = [
"ruff>=0.15.12",
]
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"""Strava MCP Server"""
__version__ = "0.1.0"
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"""
Strava OAuth2 Authorization Helper
This script guides you through the Strava OAuth2 flow to obtain a refresh token
with the correct scopes for the MCP server.
Required scopes:
- read → basic athlete profile
- activity:read → read your activities
- activity:read_all → read private activities (optional)
Usage: uv run get_token.py
"""
import os
import webbrowser
import httpx
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import urlparse, parse_qs
from dotenv import load_dotenv
load_dotenv()
CLIENT_ID = os.getenv("STRAVA_CLIENT_ID")
CLIENT_SECRET = os.getenv("STRAVA_CLIENT_SECRET")
REDIRECT_URI = "http://localhost:8765/callback"
SCOPES = "profile:read_all,activity:read_all,activity:read,profile:write"
# Global to capture the auth code from the callback
auth_code: str | None = None
class CallbackHandler(BaseHTTPRequestHandler):
def do_GET(self):
global auth_code
parsed = urlparse(self.path)
params = parse_qs(parsed.query)
if "code" in params:
auth_code = params["code"][0]
self.send_response(200)
self.send_header("Content-Type", "text/html")
self.end_headers()
self.wfile.write(b"""
<html><body style="font-family:sans-serif;text-align:center;padding:40px">
<h2>&#x2705; Authorization successful!</h2>
<p>You can close this window and return to your terminal.</p>
</body></html>
""")
else:
error = params.get("error", ["unknown"])[0]
self.send_response(400)
self.send_header("Content-Type", "text/html")
self.end_headers()
self.wfile.write(f"<html><body><h2>&#x274C; Error: {error}</h2></body></html>".encode())
def log_message(self, format, *args):
pass # Suppress server logs
def main():
if not CLIENT_ID or not CLIENT_SECRET:
print("❌ Missing STRAVA_CLIENT_ID or STRAVA_CLIENT_SECRET in .env")
return
auth_url = (
f"https://www.strava.com/oauth/authorize"
f"?client_id={CLIENT_ID}"
f"&redirect_uri={REDIRECT_URI}"
f"&response_type=code"
f"&approval_prompt=force"
f"&scope={SCOPES}"
)
print("=" * 60)
print(" Strava OAuth2 Authorization")
print("=" * 60)
print(f"\nRequesting scopes: {SCOPES}\n")
print("Opening Strava in your browser...")
print("If the browser doesn't open, visit this URL manually:\n")
print(f" {auth_url}\n")
webbrowser.open(auth_url)
print("Waiting for callback on http://localhost:8765 ...")
server = HTTPServer(("localhost", 8765), CallbackHandler)
server.handle_request() # Handle exactly one request (the callback)
if not auth_code:
print("❌ No authorization code received.")
return
print("\nExchanging authorization code for tokens...")
response = httpx.post(
"https://www.strava.com/oauth/token",
data={
"client_id": CLIENT_ID,
"client_secret": CLIENT_SECRET,
"code": auth_code,
"grant_type": "authorization_code",
},
)
if response.status_code != 200:
print(f"❌ Token exchange failed: {response.status_code} {response.text}")
return
data = response.json()
refresh_token = data["refresh_token"]
athlete = data.get("athlete", {})
print("\n" + "=" * 60)
print(" ✅ Authorization successful!")
print("=" * 60)
print(f"\nAthlete: {athlete.get('firstname')} {athlete.get('lastname')}")
print(f"Scopes granted: {data.get('scope', 'unknown')}\n")
print("Add the following to your .env file:")
print("-" * 40)
print(f"STRAVA_CLIENT_ID={CLIENT_ID}")
print(f"STRAVA_CLIENT_SECRET={CLIENT_SECRET}")
print(f"STRAVA_REFRESH_TOKEN={refresh_token}")
print("-" * 40)
if __name__ == "__main__":
main()
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import os
import sys
from dotenv import load_dotenv
from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
from strava_mcp_server.tools import register_tools
load_dotenv()
def validate_credentials() -> None:
"""Validates that all required Strava credentials are present. Exits on failure."""
required = {
"STRAVA_CLIENT_ID": os.getenv("STRAVA_CLIENT_ID"),
"STRAVA_CLIENT_SECRET": os.getenv("STRAVA_CLIENT_SECRET"),
"STRAVA_REFRESH_TOKEN": os.getenv("STRAVA_REFRESH_TOKEN"),
}
missing = [k for k, v in required.items() if not v]
if missing:
print("❌ Startup aborted: Missing required environment variables:")
for key in missing:
print(f" - {key}")
print("\nCopy .env.example to .env and fill in your Strava API credentials.")
sys.exit(1)
def main() -> None:
"""Entry point for the strava-mcp console script."""
load_dotenv()
validate_credentials()
host = os.getenv("HOST", "0.0.0.0")
port = int(os.getenv("PORT", 8000))
strava = StravaClient()
mcp = FastMCP(
"Strava MCP Server",
host=host,
port=port,
streamable_http_path="/mcp",
stateless_http=True,
)
mcp._mcp_server.version = "0.1.0"
register_tools(mcp, strava)
print(f"🚀 Starting Strava MCP Server on http://{host}:{port}")
print(f" MCP endpoint: http://{host}:{port}/mcp (Streamable HTTP)")
try:
mcp.run(transport="streamable-http")
except KeyboardInterrupt:
pass
if __name__ == "__main__":
main()
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import httpx
import os
import time
from typing import Optional, Dict, Any, List
from dotenv import load_dotenv
load_dotenv()
class StravaClient:
def __init__(self):
self.client_id = os.getenv("STRAVA_CLIENT_ID")
self.client_secret = os.getenv("STRAVA_CLIENT_SECRET")
self.refresh_token = os.getenv("STRAVA_REFRESH_TOKEN")
self.access_token: Optional[str] = None
self.expires_at: int = 0
self.base_url = "https://www.strava.com/api/v3"
async def _refresh_access_token(self):
"""Refreshes the access token using the refresh token."""
async with httpx.AsyncClient() as client:
response = await client.post(
"https://www.strava.com/oauth/token",
data={
"client_id": self.client_id,
"client_secret": self.client_secret,
"grant_type": "refresh_token",
"refresh_token": self.refresh_token,
},
)
response.raise_for_status()
data = response.json()
self.access_token = data["access_token"]
self.refresh_token = data["refresh_token"]
self.expires_at = data["expires_at"]
async def get_valid_token(self) -> str:
"""Returns a valid access token, refreshing it if necessary."""
if not self.access_token or time.time() > self.expires_at - 60:
await self._refresh_access_token()
return self.access_token
async def _get(self, endpoint: str, params: Optional[Dict[str, Any]] = None) -> Any:
"""Helper for authenticated GET requests to the Strava API."""
token = await self.get_valid_token()
async with httpx.AsyncClient() as client:
response = await client.get(
f"{self.base_url}/{endpoint}",
headers={"Authorization": f"Bearer {token}"},
params=params,
)
response.raise_for_status()
return response.json()
# ── Athletes ──────────────────────────────────────────────────────────────
async def get_athlete(self) -> Dict[str, Any]:
"""Gets the current athlete profile."""
return await self._get("athlete")
async def get_athlete_zones(self) -> Dict[str, Any]:
"""Gets heart rate and power zones configured for the current athlete."""
return await self._get("athlete/zones")
async def get_athlete_stats(self) -> Dict[str, Any]:
"""Gets cumulative stats for the current athlete (totals for runs, rides, swims)."""
athlete = await self.get_athlete()
return await self._get(f"athletes/{athlete['id']}/stats")
# ── Activities ────────────────────────────────────────────────────────────
async def list_activities(
self,
limit: int = 10,
page: int = 1,
before: int | None = None,
after: int | None = None,
) -> List[Dict[str, Any]]:
"""Lists activities for the current athlete."""
params: Dict[str, Any] = {"per_page": limit, "page": page}
if before is not None:
params["before"] = before
if after is not None:
params["after"] = after
return await self._get("athlete/activities", params=params)
async def get_activity(self, activity_id: int) -> Dict[str, Any]:
"""Gets a specific activity by ID."""
return await self._get(f"activities/{activity_id}")
async def get_activity_laps(self, activity_id: int) -> List[Dict[str, Any]]:
"""Gets the laps for a specific activity."""
return await self._get(f"activities/{activity_id}/laps")
async def get_activity_zones(self, activity_id: int) -> List[Dict[str, Any]]:
"""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]]:
"""Gets comments on a specific activity."""
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]]:
"""Gets athletes who kudoed a specific activity."""
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]:
"""Gets data streams for a specific activity."""
return await self._get(
f"activities/{activity_id}/streams",
params={"keys": ",".join(keys), "key_by_type": True},
)
# ── Clubs ─────────────────────────────────────────────────────────────────
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})
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]]:
"""Gets recent activities from a club."""
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]]:
"""Gets members of a club."""
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]]:
"""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})
async def get_route_by_id(self, route_id: str) -> Dict[str, Any]:
"""Gets a specific route by its ID."""
return await self._get(f"routes/{route_id}")
async def get_route_streams(self, route_id: str) -> Dict[str, Any]:
"""Gets data streams for a specific route."""
return await self._get(f"routes/{route_id}/streams")
# ── Segments ──────────────────────────────────────────────────────────────
async def get_segment(self, segment_id: int) -> Dict[str, Any]:
"""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]]:
"""Gets segments starred by the current athlete."""
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]:
"""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]:
"""Gets data streams for a specific segment."""
return await self._get(
f"segments/{segment_id}/streams",
params={"keys": ",".join(keys), "key_by_type": True},
)
# ── Segment Efforts ───────────────────────────────────────────────────────
async def get_segment_effort(self, effort_id: str) -> Dict[str, Any]:
"""Gets a specific segment effort by ID."""
return await self._get(f"segment_efforts/{effort_id}")
async def list_segment_efforts(
self,
segment_id: int,
start_date_local: Optional[str] = None,
end_date_local: Optional[str] = None,
per_page: int = 30,
) -> List[Dict[str, Any]]:
"""Lists efforts on a segment for the current athlete."""
params: Dict[str, Any] = {"segment_id": segment_id, "per_page": per_page}
if start_date_local:
params["start_date_local"] = start_date_local
if end_date_local:
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]:
"""Gets data streams for a specific segment effort."""
return await self._get(
f"segment_efforts/{effort_id}/streams",
params={"keys": ",".join(keys), "key_by_type": True},
)
# ── Gear ──────────────────────────────────────────────────────────────────
async def get_gear_by_id(self, gear_id: str) -> Dict[str, Any]:
"""Gets details for a specific piece of gear (bike or shoes) by its ID."""
return await self._get(f"gear/{gear_id}")
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"""
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
from . import athlete
from . import activities
from . import clubs
from . import routes
from . import segments
from . import segment_efforts
from . import gear
from . import prompts
from . import auth
def register_tools(mcp: FastMCP, strava: StravaClient) -> None:
"""Register all available tools and prompts."""
athlete.register(mcp, strava)
activities.register(mcp, strava)
clubs.register(mcp, strava)
routes.register(mcp, strava)
segments.register(mcp, strava)
segment_efforts.register(mcp, strava)
gear.register(mcp, strava)
prompts.register(mcp, strava)
auth.register(mcp, strava)
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import json
from mcp.server.fastmcp import FastMCP, Context
from mcp.types import TextContent
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def list_activities(
ctx: Context,
limit: int = 10,
page: int = 1,
before: int | None = None,
after: int | None = None,
) -> list[TextContent]:
"""
List recent Strava activities for the authenticated user.
:param limit: Number of activities to return per page (default 10, max 200).
:param page: Page number for pagination (default 1).
:param before: Unix timestamp — only return activities before this time.
:param after: Unix timestamp — only return activities after this time.
Example: 1704067200 = 2024-01-01 00:00:00 UTC.
"""
try:
await ctx.info(f"Fetching activities (Page {page}, Limit {limit})...")
activities = await strava.list_activities(
limit=min(limit, 200),
page=page,
before=before,
after=after,
)
from datetime import datetime
def format_date(d_str):
if not d_str:
return "N/A"
try:
d = datetime.fromisoformat(d_str.replace('Z', '+00:00'))
return f"{d.day:02d}.{d.month:02d}.{d.year} {d.hour:02d}:{d.minute:02d}"
except Exception:
return d_str
essential_data = []
for a in activities:
essential_data.append({
"id": a["id"],
"name": a["name"],
"sport_type": a.get("sport_type") or a.get("type"),
"start_date": format_date(a.get("start_date")),
"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."
else:
markdown_summary = f"### 🚴 Aktivitäten (Seite {page})\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 "-"
markdown_summary += f"| {a['start_date']} | {a['sport_type']} | {a['name']} | {a['distance']} | {a['moving_time']} | {a['total_elevation_gain']} | {hr} |\n"
return [
TextContent(type="text", text=markdown_summary.strip()),
TextContent(
type="text",
text=f"Raw Data for Analysis: {json.dumps(essential_data, indent=2)}"
)
]
except Exception as e:
error_msg = f"Error listing activities: {str(e)}"
await ctx.error(error_msg)
return [TextContent(type="text", text=error_msg)]
@mcp.tool()
async def get_activity_details(activity_id: int):
"""
Get detailed information about a specific Strava activity by its ID.
:param activity_id: The numeric ID of the Strava activity.
Returns full activity data including segment efforts with string IDs safe for follow-up calls.
"""
try:
activity = await strava.get_activity(activity_id)
if "segment_efforts" in activity:
for effort in activity["segment_efforts"]:
if "id" in effort:
effort["id"] = str(effort["id"])
segment = effort.get("segment")
if segment and "id" in segment:
segment["id"] = str(segment["id"])
if "id" in activity:
activity["id"] = str(activity["id"])
return activity
except Exception as e:
return f"Error fetching activity details: {str(e)}"
@mcp.tool()
async def get_activity_comments(activity_id: int, limit: int = 30):
"""
List comments on a specific Strava activity.
:param activity_id: The numeric ID of the Strava activity.
:param limit: Number of comments to return (default 30).
"""
try:
comments = await strava.get_activity_comments(activity_id, per_page=limit)
return [
{
"id": c.get("id"),
"text": c.get("text"),
"athlete": f"{c.get('athlete', {}).get('firstname')} {c.get('athlete', {}).get('lastname')}",
"created_at": c.get("created_at"),
}
for c in comments
]
except Exception as e:
return f"Error fetching comments: {str(e)}"
@mcp.tool()
async def get_activity_kudoers(activity_id: int, limit: int = 30):
"""
List athletes who gave kudos on a specific Strava activity.
:param activity_id: The numeric ID of the Strava activity.
:param limit: Number of kudoers to return (default 30).
"""
try:
kudoers = await strava.get_activity_kudoers(activity_id, per_page=limit)
return [
{
"id": k.get("id"),
"name": f"{k.get('firstname')} {k.get('lastname')}",
"city": k.get("city"),
"country": k.get("country"),
}
for k in kudoers
]
except Exception as e:
return f"Error fetching kudoers: {str(e)}"
@mcp.tool()
async def get_laps_by_activity_id(activity_id: int):
"""
List all laps for a specific Strava activity.
:param activity_id: The numeric ID of the Strava activity.
Returns lap number, name, distance, moving time, average speed, and elevation gain.
"""
try:
laps = await strava.get_activity_laps(activity_id)
return [
{
"lap_index": lap.get("lap_index"),
"name": lap.get("name"),
"distance": f"{lap.get('distance', 0) / 1000:.3f} km",
"moving_time": f"{lap.get('moving_time', 0) / 60:.1f} min",
"elapsed_time": f"{lap.get('elapsed_time', 0) / 60:.1f} min",
"average_speed": f"{lap.get('average_speed', 0) * 3.6:.2f} km/h",
"max_speed": f"{lap.get('max_speed', 0) * 3.6:.2f} km/h",
"elevation_gain": f"{lap.get('total_elevation_gain', 0):.0f} m",
"average_heartrate": lap.get("average_heartrate"),
"max_heartrate": lap.get("max_heartrate"),
}
for lap in laps
]
except Exception as e:
return f"Error fetching laps: {str(e)}"
@mcp.tool()
async def get_zones_by_activity_id(activity_id: int):
"""
Get heart rate and power zones distribution for a specific Strava activity.
:param activity_id: The numeric ID of the Strava activity.
Returns zone type, score, and time spent in each zone bucket.
"""
try:
zones = await strava.get_activity_zones(activity_id)
result = []
for zone in zones:
buckets = [
{
"zone": i + 1,
"min": b.get("min", 0),
"max": b.get("max", -1),
"time_in_zone": f"{b.get('time', 0) / 60:.1f} min",
}
for i, b in enumerate(zone.get("distribution_buckets", []))
]
result.append({
"type": zone.get("type", "unknown"),
"sensor_based": zone.get("sensor_based", False),
"score": zone.get("score"),
"custom_zones": zone.get("custom_zones", False),
"points": zone.get("points"),
"distribution_buckets": buckets,
})
return result
except Exception as e:
return f"Error fetching activity zones: {str(e)}"
@mcp.tool()
async def get_activity_streams(
activity_id: int,
keys: str = "time,distance,heartrate,altitude,velocity_smooth,cadence,watts",
):
"""
Get raw data streams for a specific Strava activity.
:param activity_id: The numeric ID of the Strava activity.
:param keys: Comma-separated list of stream types to fetch.
Available: time, distance, latlng, altitude, velocity_smooth,
heartrate, cadence, watts, temp, moving, grade_smooth.
Returns one data array per requested stream type.
"""
try:
key_list = [k.strip() for k in keys.split(",") if k.strip()]
return await strava.get_activity_streams(activity_id, key_list)
except Exception as e:
return f"Error fetching activity streams: {str(e)}"
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import json
from mcp.server.fastmcp import FastMCP, Context
from mcp.types import TextContent
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def get_athlete_profile(ctx: Context) -> list[TextContent]:
"""
Get the authenticated Strava athlete's profile.
Returns name, city, country, follower count, and other profile details.
"""
try:
await ctx.info("Fetching athlete profile...")
athlete = await strava.get_athlete()
from datetime import datetime
def format_date(d_str):
if not d_str:
return "N/A"
try:
d = datetime.fromisoformat(d_str.replace('Z', '+00:00'))
return f"{d.day}.{d.month}.{d.year}"
except Exception:
return d_str
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": athlete.get("created_at"),
"updated_at": athlete.get("updated_at"),
"bio": athlete.get("bio"),
"follower_count": athlete.get("follower_count"),
"friend_count": athlete.get("friend_count"),
}
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(essential_data['created_at'])}
- Last Updated: {format_date(essential_data['updated_at'])}
""".strip()
return [
TextContent(type="text", text=markdown_summary),
TextContent(
type="text",
text=f"Raw Data for Analysis: {json.dumps(essential_data, indent=2)}"
)
]
except Exception as e:
error_msg = f"Error fetching athlete profile: {str(e)}"
await ctx.error(error_msg)
return [TextContent(type="text", text=error_msg)]
@mcp.tool()
async def get_athlete_zones():
"""
Get the heart rate and power zones configured for the authenticated athlete.
Returns zone boundaries for both heart rate and power (if a power meter is configured).
"""
try:
return await strava.get_athlete_zones()
except Exception as e:
return f"Error fetching athlete zones: {str(e)}"
@mcp.tool()
async def get_athlete_stats():
"""
Get cumulative training statistics for the authenticated Strava athlete.
Includes all-time, year-to-date, and recent (4-week) totals for runs, rides, and swims.
"""
import json
try:
stats = await strava.get_athlete_stats()
def fmt_sport(s: dict) -> dict:
return {
"count": s.get("count", 0),
"distance": f"{s.get('distance', 0) / 1000:.1f} km",
"moving_time": f"{s.get('moving_time', 0) / 3600:.1f} h",
"elevation_gain": f"{s.get('elevation_gain', 0):.0f} m",
}
result = {
"all_time": {
"runs": fmt_sport(stats.get("all_run_totals", {})),
"rides": fmt_sport(stats.get("all_ride_totals", {})),
"swims": fmt_sport(stats.get("all_swim_totals", {})),
},
"ytd": {
"runs": fmt_sport(stats.get("ytd_run_totals", {})),
"rides": fmt_sport(stats.get("ytd_ride_totals", {})),
"swims": fmt_sport(stats.get("ytd_swim_totals", {})),
},
"recent_4_weeks": {
"runs": fmt_sport(stats.get("recent_run_totals", {})),
"rides": fmt_sport(stats.get("recent_ride_totals", {})),
"swims": fmt_sport(stats.get("recent_swim_totals", {})),
},
}
return json.dumps(result, indent=2)
except Exception as e:
return f"Error fetching athlete stats: {str(e)}"
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import os
import webbrowser
import httpx
import asyncio
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import urlparse, parse_qs
from mcp.server.fastmcp import FastMCP, Context
from mcp.types import TextContent
auth_code: str | None = None
class CallbackHandler(BaseHTTPRequestHandler):
def do_GET(self):
global auth_code
parsed = urlparse(self.path)
params = parse_qs(parsed.query)
if "code" in params:
auth_code = params["code"][0]
self.send_response(200)
self.send_header("Content-Type", "text/html")
self.end_headers()
self.wfile.write(b"""
<html><body style="font-family:sans-serif;text-align:center;padding:40px">
<h2>&#x2705; Authorization successful!</h2>
<p>You can close this window and return to your terminal/chat.</p>
</body></html>
""")
else:
error = params.get("error", ["unknown"])[0]
self.send_response(400)
self.send_header("Content-Type", "text/html")
self.end_headers()
self.wfile.write(f"<html><body><h2>&#x274C; Error: {error}</h2></body></html>".encode())
def log_message(self, format, *args):
pass # Suppress server logs
def register(mcp: FastMCP, strava) -> None:
@mcp.tool()
async def get_new_oauth_token(ctx: Context) -> list[TextContent]:
"""
Start the interactive Strava OAuth2 authorization flow.
This opens a browser window for the user to log in and authorize the app.
It then intercepts the redirect locally, obtains the token, and returns the tokens.
"""
global auth_code
auth_code = None
client_id = os.getenv("STRAVA_CLIENT_ID")
client_secret = os.getenv("STRAVA_CLIENT_SECRET")
if not client_id or not client_secret:
return [TextContent(type="text", text="Error: Missing STRAVA_CLIENT_ID or STRAVA_CLIENT_SECRET in .env")]
redirect_uri = "http://localhost:8765/callback"
scopes = "profile:read_all,activity:read_all,activity:read,profile:write"
auth_url = (
f"https://www.strava.com/oauth/authorize"
f"?client_id={client_id}"
f"&redirect_uri={redirect_uri}"
f"&response_type=code"
f"&approval_prompt=force"
f"&scope={scopes}"
)
await ctx.info("Opening browser for Strava Authorization...")
webbrowser.open(auth_url)
await ctx.info("Waiting for you to log in and authorize (Browser opened on your computer)...")
server = HTTPServer(("localhost", 8765), CallbackHandler)
# Run handle_request in a separate thread so it doesn't block the async event loop
await asyncio.to_thread(server.handle_request)
if not auth_code:
return [TextContent(type="text", text="Error: No authorization code received.")]
await ctx.info("Authorization code received. Exchanging for tokens...")
async with httpx.AsyncClient() as client:
response = await client.post(
"https://www.strava.com/oauth/token",
data={
"client_id": client_id,
"client_secret": client_secret,
"code": auth_code,
"grant_type": "authorization_code",
},
)
if response.status_code != 200:
return [TextContent(type="text", text=f"Error: Token exchange failed: {response.status_code} {response.text}")]
data = response.json()
refresh_token = data.get("refresh_token")
# Update the .env file if it exists
env_msg = ""
try:
env_path = ".env"
if os.path.exists(env_path):
with open(env_path, "r") as f:
lines = f.readlines()
with open(env_path, "w") as f:
for line in lines:
if line.startswith("STRAVA_REFRESH_TOKEN="):
f.write(f"STRAVA_REFRESH_TOKEN={refresh_token}\n")
else:
f.write(line)
env_msg = "\nI have also automatically updated your .env file with the new refresh token!"
except Exception as e:
env_msg = f"\nFailed to automatically update .env file: {e}"
return [TextContent(type="text", text=f"""
✅ Authorization successful!
You have successfully authenticated with Strava.
Your new Refresh Token is: `{refresh_token}`
{env_msg}
""")]
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from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def list_athlete_clubs():
"""
List clubs that the authenticated athlete belongs to.
Returns club name, sport type, member count, and city.
"""
try:
clubs = await strava.get_athlete_clubs()
return [
{
"id": c.get("id"),
"name": c.get("name"),
"sport_type": c.get("sport_type"),
"city": c.get("city"),
"country": c.get("country"),
"member_count": c.get("member_count"),
"private": c.get("private", False),
}
for c in clubs
]
except Exception as e:
return f"Error fetching clubs: {str(e)}"
@mcp.tool()
async def get_club(club_id: int):
"""
Get detailed information about a specific Strava club.
:param club_id: The numeric ID of the club.
"""
try:
return await strava.get_club(club_id)
except Exception as e:
return f"Error fetching club: {str(e)}"
@mcp.tool()
async def get_club_activities(club_id: int, limit: int = 30):
"""
List recent activities uploaded by members of a specific club.
:param club_id: The numeric ID of the club.
:param limit: Number of activities to return (default 30).
"""
try:
activities = await strava.get_club_activities(club_id, per_page=limit)
return [
{
"name": a.get("name"),
"sport_type": a.get("sport_type") or a.get("type"),
"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",
"athlete": f"{a.get('athlete', {}).get('firstname')} {a.get('athlete', {}).get('lastname')}",
}
for a in activities
]
except Exception as e:
return f"Error fetching club activities: {str(e)}"
@mcp.tool()
async def get_club_members(club_id: int, limit: int = 30):
"""
List members of a specific Strava club.
:param club_id: The numeric ID of the club.
:param limit: Number of members to return (default 30).
"""
try:
members = await strava.get_club_members(club_id, per_page=limit)
return [
{
"id": m.get("id"),
"name": f"{m.get('firstname')} {m.get('lastname')}",
"city": m.get("city"),
"country": m.get("country"),
}
for m in members
]
except Exception as e:
return f"Error fetching club members: {str(e)}"
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from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def get_gear_by_id(gear_id: str):
"""
Get details for a specific piece of gear (bike or shoes) by its ID.
:param gear_id: The gear ID string (e.g. 'b12345' for bikes, 'g12345' for shoes).
The gear_id can be found in activity details under the 'gear_id' field.
Returns brand, model, name, distance logged, and whether it is the primary gear.
"""
try:
g = await strava.get_gear_by_id(gear_id)
return {
"id": g.get("id"),
"name": g.get("name"),
"nickname": g.get("nickname"),
"brand_name": g.get("brand_name"),
"model_name": g.get("model_name"),
"description": g.get("description") or "",
"type": g.get("gear_type") or g.get("frame_type"),
"distance": f"{g.get('distance', 0) / 1000:.0f} km",
"primary": g.get("primary", False),
"retired": g.get("retired", False),
}
except Exception as e:
return f"Error fetching gear: {str(e)}"
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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:
"""
Prompt to trigger a deep analysis of a specific Strava activity.
:param activity_id: The numeric ID of the activity to analyze.
Fetches full details and produces a structured performance report.
"""
return (
f"Please analyze my Strava activity with ID {activity_id} in detail.\n\n"
"Use the get_activity_details tool to fetch the full data, then provide:\n"
"1. **Summary**: sport type, date, distance, duration, elevation\n"
"2. **Performance**: average and max heart rate, average power (if available), "
"pace or speed, cadence\n"
"3. **Segment highlights**: best segment efforts with PR or KOM ranks\n"
"4. **Gear**: which bike or shoes was used\n"
"5. **Takeaways**: 23 concrete observations about the effort "
"(e.g. strong finish, high elevation, good power-to-HR ratio)\n\n"
"Format the response clearly with headings."
)
@mcp.prompt()
def training_summary(weeks: int = 4) -> str:
"""
Prompt to generate a training load summary for the last N weeks.
:param weeks: Number of weeks to cover (default 4).
Fetches recent activities and athlete stats to produce a summary report.
"""
import time
after_ts = int(time.time()) - weeks * 7 * 24 * 3600
return (
f"Please summarize my Strava training for the last {weeks} weeks.\n\n"
f"Use list_activities with after={after_ts} (Unix timestamp = {weeks} weeks ago) "
"and a high limit to fetch all recent activities. "
"Also read the get_athlete_stats tool for overall totals.\n\n"
"Structure the report as follows:\n"
"1. **Overview**: total distance, time, elevation, and number of activities\n"
"2. **By sport**: breakdown for rides, runs, and swims separately\n"
"3. **Highlights**: longest activity, highest elevation, best average speed/pace\n"
"4. **Trend**: how does this period compare to the year-to-date stats?\n"
"5. **Recommendations**: 12 observations based on the data "
"(e.g. volume trend, missing recovery days, sport mix)\n\n"
"Format with headings and use km, hours, and meters as units."
)
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from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def get_routes_by_athlete_id(limit: int = 30):
"""
List routes created by the authenticated Strava athlete.
:param limit: Number of routes to return (default 30, max 200).
Returns route name, type, distance, elevation gain, and estimated move time.
"""
try:
routes = await strava.get_routes_by_athlete(per_page=min(limit, 200))
return [
{
"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",
"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",
"estimated_moving_time": f"{r.get('estimated_moving_time', 0) / 60:.0f} min",
"starred": r.get("starred", False),
"private": r.get("private", False),
}
for r in routes
]
except Exception as e:
return f"Error fetching routes: {str(e)}"
@mcp.tool()
async def get_route_by_id(route_id: str):
"""
Get detailed information about a specific Strava route by its ID.
:param route_id: The ID of the route (use the string ID from get_routes_by_athlete_id).
Returns full route details including segments.
"""
try:
r = await strava.get_route_by_id(route_id)
return {
"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",
"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",
"starred": r.get("starred", False),
"private": r.get("private", False),
"segments": [
{
"id": str(s.get("id")),
"name": s.get("name"),
"distance": f"{s.get('distance', 0) / 1000:.2f} km",
"average_grade": f"{s.get('average_grade', 0):.1f}%",
}
for s in r.get("segments", [])
],
}
except Exception as e:
return f"Error fetching route: {str(e)}"
@mcp.tool()
async def get_route_streams(route_id: str):
"""
Get data streams (distance, altitude, latlng, etc.) for a specific route.
:param route_id: The ID of the route (use the string ID from get_routes_by_athlete_id).
"""
try:
return await strava.get_route_streams(route_id)
except Exception as e:
return f"Error fetching route streams: {str(e)}"
@@ -0,0 +1,83 @@
from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def get_segment_effort(effort_id: str):
"""
Get details for a specific segment effort by its ID. Requires Strava subscription.
:param effort_id: The effort ID string — copy it exactly from get_activity_details
(under 'segment_efforts[].id'). Do NOT retype the number manually.
Returns elapsed time, moving time, power, heart rate, PR rank, and KOM rank.
"""
try:
e = await strava.get_segment_effort(effort_id)
return {
"id": str(e.get("id")),
"name": e.get("name"),
"elapsed_time": f"{e.get('elapsed_time', 0) / 60:.1f} min",
"moving_time": f"{e.get('moving_time', 0) / 60:.1f} min",
"start_date": e.get("start_date"),
"distance": f"{e.get('distance', 0) / 1000:.2f} km",
"average_watts": e.get("average_watts"),
"average_heartrate": e.get("average_heartrate"),
"max_heartrate": e.get("max_heartrate"),
"pr_rank": e.get("pr_rank"),
"kom_rank": e.get("kom_rank"),
}
except Exception as e:
return f"Error fetching segment effort: {str(e)}"
@mcp.tool()
async def list_segment_efforts(
segment_id: int,
start_date_local: str | None = None,
end_date_local: str | None = None,
limit: int = 30,
):
"""
List the authenticated athlete's efforts on a specific segment. Requires Strava subscription.
:param segment_id: The numeric ID of the segment.
:param start_date_local: Optional filter start date (ISO 8601, e.g. '2024-01-01T00:00:00Z').
:param end_date_local: Optional filter end date (ISO 8601, e.g. '2024-12-31T23:59:59Z').
:param limit: Number of efforts to return (default 30).
"""
try:
efforts = await strava.list_segment_efforts(
segment_id,
start_date_local=start_date_local,
end_date_local=end_date_local,
per_page=limit,
)
return [
{
"id": str(e.get("id")),
"elapsed_time": f"{e.get('elapsed_time', 0) / 60:.1f} min",
"moving_time": f"{e.get('moving_time', 0) / 60:.1f} min",
"start_date": e.get("start_date"),
"average_watts": e.get("average_watts"),
"average_heartrate": e.get("average_heartrate"),
"pr_rank": e.get("pr_rank"),
}
for e in efforts
]
except Exception as e:
return f"Error fetching segment efforts: {str(e)}"
@mcp.tool()
async def get_segment_effort_streams(
effort_id: str,
keys: str = "time,distance,heartrate,altitude,velocity_smooth,cadence,watts",
):
"""
Get raw data streams for a specific segment effort. Requires Strava subscription.
:param effort_id: The effort ID string — copy it exactly from get_activity_details
(under 'segment_efforts[].id'). Do NOT retype the number manually.
:param keys: Comma-separated stream types. Available: time, distance, latlng,
altitude, velocity_smooth, heartrate, cadence, watts, moving, grade_smooth.
"""
try:
key_list = [k.strip() for k in keys.split(",") if k.strip()]
return await strava.get_segment_effort_streams(effort_id, key_list)
except Exception as e:
return f"Error fetching segment effort streams: {str(e)}"
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from mcp.server.fastmcp import FastMCP
from strava_mcp_server.strava_client import StravaClient
def register(mcp: FastMCP, strava: StravaClient) -> None:
@mcp.tool()
async def get_segment(segment_id: int):
"""
Get detailed information about a specific Strava segment.
:param segment_id: The numeric ID of the segment.
Returns segment name, distance, grade, elevation, and effort counts.
"""
try:
s = await strava.get_segment(segment_id)
return {
"id": s.get("id"),
"name": s.get("name"),
"activity_type": s.get("activity_type"),
"distance": f"{s.get('distance', 0) / 1000:.2f} km",
"average_grade": f"{s.get('average_grade', 0):.1f}%",
"maximum_grade": f"{s.get('maximum_grade', 0):.1f}%",
"elevation_high": f"{s.get('elevation_high', 0):.0f} m",
"elevation_low": f"{s.get('elevation_low', 0):.0f} m",
"total_elevation_gain": f"{s.get('total_elevation_gain', 0):.0f} m",
"effort_count": s.get("effort_count"),
"athlete_count": s.get("athlete_count"),
"kom": s.get("xoms", {}).get("kom") or s.get("xoms", {}).get("qom"),
"starred": s.get("starred", False),
"city": s.get("city"),
"country": s.get("country"),
}
except Exception as e:
return f"Error fetching segment: {str(e)}"
@mcp.tool()
async def list_starred_segments(limit: int = 30):
"""
List segments starred by the authenticated athlete.
:param limit: Number of segments to return (default 30).
"""
try:
segments = await strava.get_starred_segments(per_page=limit)
return [
{
"id": s.get("id"),
"name": s.get("name"),
"activity_type": s.get("activity_type"),
"distance": f"{s.get('distance', 0) / 1000:.2f} km",
"average_grade": f"{s.get('average_grade', 0):.1f}%",
"effort_count": s.get("effort_count"),
"athlete_count": s.get("athlete_count"),
}
for s in segments
]
except Exception as e:
return f"Error fetching starred segments: {str(e)}"
@mcp.tool()
async def explore_segments(
bounds: str,
activity_type: str = "riding",
):
"""
Explore popular segments within a bounding box.
:param bounds: Comma-separated lat/lng bounding box: 'min_lat,min_lng,max_lat,max_lng'.
Example: '47.5,8.4,48.0,9.0' for a region near Stuttgart.
:param activity_type: Either 'riding' (default) or 'running'.
Returns top segments in the area with distance, grade, and elevation.
"""
try:
result = await strava.explore_segments(bounds, activity_type)
return [
{
"id": s.get("id"),
"name": s.get("name"),
"distance": f"{s.get('distance', 0) / 1000:.2f} km",
"average_grade": f"{s.get('avg_grade', 0):.1f}%",
"elevation_difference": f"{s.get('elev_difference', 0):.0f} m",
"climb_category": s.get("climb_category"),
}
for s in result.get("segments", [])
]
except Exception as e:
return f"Error exploring segments: {str(e)}"
@mcp.tool()
async def get_segment_streams(
segment_id: int,
keys: str = "distance,altitude,latlng,grade_smooth",
):
"""
Get raw data streams for a specific Strava segment.
:param segment_id: The numeric ID of the segment.
:param keys: Comma-separated stream types. Available: distance, altitude, latlng, grade_smooth.
"""
try:
key_list = [k.strip() for k in keys.split(",") if k.strip()]
return await strava.get_segment_streams(segment_id, key_list)
except Exception as e:
return f"Error fetching segment streams: {str(e)}"
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import asyncio
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.")
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"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("Run: uv run get_token.py to re-authorize with the correct scopes.")
if __name__ == "__main__":
asyncio.run(test_connection())
Generated
+891
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@@ -0,0 +1,891 @@
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