strava-mcp MCP Server
r-huijts/strava-mcp
[](https://agentrank-ai.com/tool/r-huijts--strava-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A Model Context Protocol (MCP) server that connects to Strava API, providing tools to access Strava data through LLMs
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
r-huijts/strava-mcp is a TypeScript MCP server licensed under MIT. A Model Context Protocol (MCP) server that connects to Strava API, providing tools to access Strava data through LLMs
Ranked #11241 out of 24846 indexed tools.
Has 22 contributors.
Ecosystem
Score Breakdown
499 stars → growing community
Last commit 4mo ago → stale
9/28 issues closed → many open issues
22 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Strava MCP Server **Talk to your Strava data using AI.** Connect Claude to your Strava account and ask questions in plain English: "How far did I run this month?", "Analyze my last ride", or "Show me my fastest segments." <a href="https://glama.ai/mcp/servers/@r-huijts/strava-mcp"> </a> --- ## What Can You Do With This? Once connected, just talk to Claude like you're talking to a friend who has access to all your Strava data: ### 🏃 Track Your Progress > "How many kilometers did I run this month?" > > "Compare my running stats from January to December" > > "What's my longest ride ever?" ### 📊 Analyze Your Workouts > "Break down my last cycling workout - show me power, heart rate, and cadence" > > "How did my heart rate zones look during yesterday's run?" > > "What was my average pace for each lap in my interval training?" ### 🗺️ Explore Routes & Segments > "What are the most popular cycling segments near Central Park?" > > "Show me my starred segments" > > "ExportRead full README on GitHub →
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