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strava-mcp

nicolefreeman/strava-mcp
0 starsUpdated 2026-03-22Community

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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Exposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.

README.md

strava-mcp

A Model Context Protocol (MCP) server that exposes your Strava data to Claude. Ask Claude about your training load, compare blocks, dig into lap splits, or analyze activity streams — all from a conversation.

Prerequisites

  • Node.js 18+
  • A Strava account with activities
  • A Strava API application (free to create)

Strava API setup

  1. Go to strava.com/settings/api and create an application.
  2. Note your Client ID and Client Secret.
  3. Obtain an access token and refresh token using Strava's OAuth flow. The simplest way:
  • Visit https://www.strava.com/oauth/authorize?client_id=YOUR_CLIENT_ID&response_type=code&redirect_uri=http://localhost&approval_prompt=force&scope=read,activity:read_all
  • Authorize the app and copy the code from the redirect URL.
  • Exchange it for tokens:
     curl -X POST https://www.strava.com/oauth/token \
       -d client_id=YOUR_CLIENT_ID \
       -d client_secret=YOUR_CLIENT_SECRET \
       -d code=YOUR_CODE \
       -d grant_type=authorization_code
  • The response contains access_token, refresh_token, and expires_at.

Installation

git clone https://github.com/your-username/strava-mcp.git
cd strava-mcp
npm install

Configuration

cp .env.example .env

Edit .env with your credentials:

STRAVA_CLIENT_ID=your_client_id
STRAVA_CLIENT_SECRET=your_client_secret
STRAVA_ACCESS_TOKEN=your_access_token
STRAVA_REFRESH_TOKEN=your_refresh_token
STRAVA_TOKEN_EXPIRES_AT=1234567890   # unix timestamp from token exchange
DEBUG=false                           # set to "true" for verbose stderr logging

Tokens are held in memory only and auto-refreshed before expiry. Nothing is written back to .env.

Build & run

npm run build   # compile TypeScript → build/
npm start       # start the MCP server on stdio

For development without a build step:

npm run dev

Claude Desktop integration

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

{
  "mcpServers": {
    "strava": {
      "command": "node",
      "args": ["/absolute/path/to/strava-mcp/build/index.js"],
      "env": {
        "STRAVA_CLIENT_ID": "your_client_id",
        "STRAVA_CLIENT_SECRET": "your_client_secret",
        "STRAVA_ACCESS_TOKEN": "your_access_token",
        "STRAVA_REFRESH_TOKEN": "your_refresh_token",
        "STRAVA_TOKEN_EXPIRES_AT": "0"
      }
    }
  }
}

Restart Claude Desktop after saving.

Available tools

Athlete

| Tool | Description | |------|-------------| | get_athlete | Profile: name, location, weight, FTP, membership type | | get_athlete_stats | Activity totals (recent / YTD / all-time) for rides, runs, swims | | get_athlete_zones | Heart rate and power training zones from your Strava settings |

Activities

| Tool | Description | |------|-------------| | list_activities | Recent activities with optional date range and count cap | | get_activity | Full detail for a single activity by ID | | get_activity_laps | Lap splits (pace, HR, power) for a single activity | | get_activity_zones | HR and power zone distributions for a single activity (Strava Summit required) | | search_activities | Filter recent activities by name keyword and/or sport type |

Analysis

| Tool | Description | |------|-------------| | analyze_training_load | Volume, time, elevation, and weekly breakdown over a date range | | compare_training_blocks | Side-by-side comparison of two training periods with deltas | | get_training_timeseries | Week-by-week or day-by-day volume trend over a date range | | get_activity_streams | Raw sensor data (HR, pace, power, altitude, cadence) with summary stats |

Example prompts

  • "How many miles did I run last month?"
  • "Compare my training in January vs February."
  • "Show me the lap splits for my last long run."
  • "What was my average heart rate trend over the past 12 weeks?"
  • "Find all my rides over 50 miles this year."

Project structure

src/
  index.ts          — MCP server entry point
  types.ts          — TypeScript interfaces and error classes
  utils.ts          — Unit conversion helpers (imperial: miles, min/mile, feet)
  logger.ts         — Debug logger (writes to stderr only)
  token-manager.ts  — In-memory OAuth token lifecycle (refresh, expiry)
  strava-client.ts  — Authenticated HTTP client with pagination
  tools/
    athlete.ts      — Athlete profile and stats tools
    activities.ts   — Activity listing and detail tools
    analysis.ts     — Training load and trend analysis tools

Notes

  • Units: All display values are imperial (miles, min/mile, feet). Strava's metric API values are converted via utils.ts.
  • Rate limits: Strava enforces 100 requests/15 min and 1,000/day. Tools that fetch large date ranges may hit these limits.
  • Pagination: The client handles pagination automatically; pass maxItems to cap results.
  • Logging: Debug output goes to stderr only, so it never corrupts the MCP stdout stream. Enable with DEBUG=true.

License

MIT

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