MCP 服务器

Strava MCP Server

Connects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.

README

Strava MCP Server

Connect your Strava training data to Claude. This MCP server turns Claude into your personal training coach — analyzing your training load, planning workouts, and tracking your progress. Works with cycling, running, and any sport you track on Strava.

Strava MCP

Install

Works with Claude Desktop and claude.ai on any plan. Free plans can add 1 custom connector (remove any existing connector first), Pro and Max are unlimited.

1. Create a Strava API app

This takes about 2 minutes. You need a free Strava API app so Claude can access your data.

Go to strava.com/settings/api
Fill in the form — Application Name, Category, and Description can be anything (e.g. "My Claude connector")
Set Authorization Callback Domain to strava-mcp-web.vercel.app
Click Create and note your Client ID and Client Secret

2. Add the connector

Open Claude Desktop or claude.ai
Go to Settings → Connectors → Add custom connector
Paste this URL and save:

https://strava-mcp-web.vercel.app/mcp

3. Connect

Click Connect on the newly added connector. This opens a page where you enter your Strava Client ID and Client Secret, then authorize with Strava.

That's it! Ask Claude about your training.

Tools

The server exposes 10 tools:

Tool	Description
`get_recent_activities`	Your last activities with distance, duration, and heart rate
`get_activity_details`	Deep dive into a specific activity — power, HR, speed, suffer score
`get_training_load_analysis`	ATL, CTL, TSB with training advice and 8-week trends
`get_weekly_stats`	Weekly volume — activities, kilometers, hours
`get_weekly_training_plan`	Weekly plan based on current fitness and fatigue
`get_gear_maintenance`	Bike/shoe km totals with chain, cassette, tire warnings
`get_power_curve`	Best power outputs (5s–60min), FTP estimate, monthly comparison
`get_hr_zone_distribution`	Time in each HR zone with polarized training advice
`get_hr_drift_analysis`	Cardiac drift in steady rides — aerobic efficiency indicator
`check_workout_quality`	Interval consistency, power decoupling, recovery scoring

Example conversations

"I want to ride tonight, what should I do?" "How is my training load looking?" "Check the quality of my last interval workout" "When do I need to replace my chain?" "What's my FTP and how does it compare to last month?" "Am I spending enough time in zone 2?" "I'm training for a 150km race in April — am I on track?"

How it works

Claude pulls your Strava data in real-time and reasons about it in context — your recent rides, fitness trend, fatigue level, and goals.

Training load analysis uses the standard PMC model:

ATL (7-day) — how tired you are now
CTL (42-day) — your fitness level
TSB — CTL minus ATL. Positive = fresh, negative = fatigued
Ramp rate — week-over-week load change, with injury risk warnings

Gear maintenance tracks km on each bike and shoe, warning when chain (3000km), cassette (6000km), tires (5000km), or cables (8000km) need attention.

Power curve finds your best efforts across durations and estimates FTP at 95% of your 20-minute power.

HR analysis covers zone distribution (are you polarizing enough?) and cardiac drift (is your aerobic base improving?).

Limitations

Training load uses suffer score / HR — it underestimates fatigue from strength training or activities where HR stays low
Power features require a power meter or smart trainer
The weekly plan is a heuristic, not a replacement for a certified coach