Интеграция Strava API с Model Context Protocol (MCP) SDK
About
An MCP server that connects Strava data to AI assistants via the Model Context Protocol. It analyzes workouts, provides training recommendations, and manages Strava API authentication automatically.
Details
- Author
- MCP-Mirror
- Downloads
- 320
- Categories
- Developer Tools
Jump to
- Read resources: activities, zones, clubs, gear
- Tools: analyze_activity, analyze_training_load, get_activity_recommendations
- Automatic token refresh for Strava API
- Rate limiting (100 requests per 15 minutes)
- Built with MCP Python SDK
- MIT licensed, open source
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Интеграция Strava API с Model Context Protocol (MCP) SDKCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install Python 3.10+, clone the repository, and use uv to install dependencies. Configure a Strava API application, create a .env file from the template, run python scripts/auth.py to obtain tokens, then launch with mcp dev src/server.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"\u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044f strava api \u0441 model context protocol (mcp) sdk": {
"rbctmz_mcp-server-strava": {
"command": "uv",
"args": [
"pip",
"install",
"."
]
}
}
}
}
McpServers
{
"rbctmz_mcp-server-strava": {
"command": "uv",
"args": [
"pip",
"install",
"."
]
}
}
Интеграция Strava API с Model Context Protocol (MCP) SDK
Интеграция для анализа тренировок и получения рекомендаций на основе данных Strava с использованием Model Context Protocol SDK.
🚀 Возможности
- Анализ тренировок из Strava
- Рекомендации по тренировкам
- Автоматическое обновление токенов
- Rate limiting для API запросов
📋 Требования
- Python 3.10+
- Claude Desktop
- Strava аккаунт
- uv (рекомендуется)
⚙️ Установка
```bash
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