Connect Strava training data to Claude for training load analysis and activity insights
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Strava MCP Server is an MCP server that connect Strava training data to Claude for training load analysis and activity insights. Its tool list has not been published yet over sse and http, requires no API key, and scores 31/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"strava-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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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.
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.
This takes about 2 minutes. You need a free Strava API app so Claude can access your data.
strava-mcp-web.vercel.apphttps://strava-mcp-web.vercel.app/mcp
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.
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 |
"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?"
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:
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?).