strava-mcp

strava-mcp

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

Category
访问服务器

README

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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选