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

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"
@@ -54,6 +54,9 @@ dev = [
 [tool.hatch.version]
 source = "vcs"
 
+[tool.hatch.build.targets.wheel]
+packages = ["src/strava_mcp_server"]
+
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
 testpaths = ["tests"]

src/strava_mcp_server/tools/athlete.py

@@ -2,7 +2,7 @@ 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:
@@ -28,34 +28,20 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
             ]
             location = ", ".join(location_parts) if location_parts else "N/A"
 
-            essential_data = {
+            full_name = (
-                "id": athlete.get("id"),
+                f"{athlete.get('firstname', '')} {athlete.get('lastname', '')}".strip()
-                "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"),
-            }
-
             markdown_summary = f"""
-👤 **Profile for {essential_data["name"]}** (ID: {essential_data["id"]})
+👤 **Profile for {full_name}** (ID: {athlete.get("id")})
-   - Username: {essential_data["username"] or "N/A"}
+   - Username: {athlete.get("username") or "N/A"}
-   - Location: {essential_data["location"]}
+   - Location: {location}
-   - Sex: {essential_data["sex"] or "N/A"}
+   - Sex: {athlete.get("sex") or "N/A"}
-   - Weight: {essential_data["weight"] or "N/A"} kg
+   - Weight: {athlete.get("weight") or "N/A"} kg
-   - Measurement Units: {essential_data["measurement_units"] or "N/A"}
+   - Measurement Units: {athlete.get("measurement_preference") or "N/A"}
-   - Strava Summit Member: {"Yes" if essential_data["is_premium"] else "No"}
+   - Strava Summit Member: {"Yes" if athlete.get("premium") else "No"}
-   - Profile Image (Medium): {essential_data["profile_medium"] or "N/A"}
+   - Profile Image (Medium): {athlete.get("profile_medium") or "N/A"}
-   - Joined Strava: {format_date_human(essential_data["created_at"])}
+   - Joined Strava: {format_date_human(athlete.get("created_at"))}
-   - Last Updated: {format_date_human(essential_data["updated_at"])}
+   - Last Updated: {format_date_human(athlete.get("updated_at"))}
             """.strip()
 
             return [
@@ -69,7 +55,7 @@ def register(mcp: FastMCP, strava: StravaClient) -> None:
                     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"]),
                 ),

uv.lock

@@ -893,7 +893,7 @@ wheels = [
 ]
 
 [[package]]
-name = "strava-mcp-server"
+name = "strava-mcp-server-hnrx"
 source = { editable = "." }
 dependencies = [
     { name = "fastapi" },

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; }
+}