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strava-mcp-server

一个模型上下文协议服务器,为语言模型提供对Strava API数据的访问,使它们能够查询和分析Strava上的运动员活动。

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README

Strava MCP Server

Python Package License: MIT Python 3.10

A Model Context Protocol (MCP) server that provides access to the Strava API. It allows language models to query athlete activities data from the Strava API.

Available Tools

The server exposes the following tools:

Activities Queries

  • get_activities(limit: int = 10): Get the authenticated athlete's recent activities
  • get_activities_by_date_range(start_date: str, end_date: str, limit: int = 30): Get activities within a specific date range
  • get_activity_by_id(activity_id: int): Get detailed information about a specific activity
  • get_recent_activities(days: int = 7, limit: int = 10): Get activities from the past X days

Dates should be provided in ISO format (YYYY-MM-DD).

Activity Data Format

The server returns activity data with consistent field names and units:

| Field | Description | Unit | |-------|-------------|------| | name | Activity name | - | | sport_type | Type of sport | - | | start_date | Start date and time | ISO 8601 | | distance_metres | Distance | meters | | elapsed_time_seconds | Total elapsed time | seconds | | moving_time_seconds | Moving time | seconds | | average_speed_mps | Average speed | meters per second | | max_speed_mps | Maximum speed | meters per second | | total_elevation_gain_metres | Total elevation gain | meters | | elev_high_metres | Highest elevation | meters | | elev_low_metres | Lowest elevation | meters | | calories | Calories burned | kcal | | start_latlng | Start coordinates | [lat, lng] | | end_latlng | End coordinates | [lat, lng] |

Authentication

To use this server, you'll need to authenticate with the Strava API. Follow these steps:

  1. Create a Strava API application:

    • Go to Strava API Settings
    • Create an application to get your Client ID and Client Secret
    • Set the Authorization Callback Domain to localhost
  2. Get your refresh token:

    • Use the included get_strava_token.py script:
    python get_strava_token.py
    
    • Follow the prompts to authorize your application
    • The script will save your tokens to a .env file
  3. Set environment variables: The server requires the following environment variables:

    • STRAVA_CLIENT_ID: Your Strava API Client ID
    • STRAVA_CLIENT_SECRET: Your Strava API Client Secret
    • STRAVA_REFRESH_TOKEN: Your Strava API Refresh Token

Usage

Claude for Desktop

Update your claude_desktop_config.json (located in ~/Library/Application\ Support/Claude/claude_desktop_config.json on macOS and %APPDATA%/Claude/claude_desktop_config.json on Windows) to include the following:

{
    "mcpServers": {
        "strava": {
            "command": "uvx",
            "args": [
                "strava-mcp-server"
            ],
            "env": {
                "STRAVA_CLIENT_ID": "YOUR_CLIENT_ID",
                "STRAVA_CLIENT_SECRET": "YOUR_CLIENT_SECRET",
                "STRAVA_REFRESH_TOKEN": "YOUR_REFRESH_TOKEN"
            }
        }
    }
}

Claude Web

For Claude Web, you can run the server locally and connect it using the MCP extension.

Example Queries

Once connected, you can ask Claude questions like:

  • "What are my recent activities?"
  • "Show me my activities from last week"
  • "What was my longest run in the past month?"
  • "Get details about my latest cycling activity"

Error Handling

The server provides human-readable error messages for common issues:

  • Invalid date formats
  • API authentication errors
  • Network connectivity problems

License

This project is licensed under the MIT License - see the LICENSE file for details.

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client