strava-mcp-agent 0.1.1

MCP server that exposes your Strava athletic data as tools for Claude and other LLMs

strava-mcp

Give Claude access to your Strava data. An MCP server that exposes your runs, rides, swims, and all Strava metrics as tools for AI-powered coaching, analysis, and conversation.

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What it does

strava-mcp connects your Strava account to any MCP-compatible client (Claude Desktop, Claude Code, etc.) and provides 13 tools covering every aspect of your athletic data:

Tool	Description
get_athlete	Your profile — name, weight, FTP, bio
get_athlete_stats	All-time & recent totals for run/bike/swim
list_activities	Browse activities with date/type filtering
get_activity	Full detail for one activity (splits, HR, cadence, weather)
get_activity_zones	Heart-rate and power zone distribution
get_activity_laps	Per-lap pace, HR, and distance breakdown
get_activity_streams	Raw sensor data (GPS, HR, cadence, watts, altitude)
get_starred_segments	Your starred segments
get_segment_efforts	Efforts on a specific segment
get_routes	Routes you've created
get_gear	Shoe/bike details and mileage
get_clubs	Clubs you belong to
get_running_summary	AI-ready coaching summary (weekly mileage, pace trends, best efforts, HR stats)

Installation

pip install strava-mcp

Or install from source:

git clone https://github.com/koushikmaji/strava-mcp.git
cd strava-mcp
pip install -e .

Setup

1. Create a Strava API Application

1. Go to https://www.strava.com/settings/api
2. Create an application (use http://localhost:8888/callback as the redirect URI)
3. Note your Client ID and Client Secret

2. Get Your Refresh Token

python get_token.py

This opens a browser for Strava authorization and returns your refresh token.

3. Set Environment Variables

export STRAVA_CLIENT_ID="your_client_id"
export STRAVA_CLIENT_SECRET="your_client_secret"
export STRAVA_REFRESH_TOKEN="your_refresh_token"

4. Configure Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "strava": {
      "command": "strava-mcp",
      "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
      }
    }
  }
}

Or run with Python directly:

{
  "mcpServers": {
    "strava": {
      "command": "python",
      "args": ["-m", "strava_mcp"],
      "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token"
      }
    }
  }
}

Usage Examples

Once connected, just talk to Claude:

• "How was my running this month?"
• "Compare my last 5 runs — am I getting faster?"
• "What's my average heart rate on long runs vs tempo runs?"
• "Show me my weekly mileage trend for the past 2 months"
• "What gear has the most miles on it?"

The get_running_summary tool is especially powerful for coaching — it computes weekly mileage, pace trends, best 5K/10K efforts, and heart rate stats, all in one call.

Security

Credentials are loaded from environment variables only — never hardcoded. The server uses Strava's OAuth2 refresh token flow and automatically handles token renewal.

Requirements

• Python 3.10+
• A Strava account with API access
• MCP-compatible client (Claude Desktop, Claude Code, etc.)

License

MIT