Summary
Connects Claude to the Strava API v3 so you can analyze training data without leaving the conversation. Exposes 10 tools covering recent activities, training load (ATL/CTL/TSB using the PMC model), weekly stats and workout plans, gear maintenance tracking, power curves with FTP estimates, HR zone distribution, and cardiac drift analysis. Requires a free Strava API app with OAuth setup. Reach for this if you're coaching yourself or want to ask questions about fitness trends, interval quality, or whether your training load is ramping too aggressively. Works best if you have a power meter, though it falls back to suffer score and heart rate for load calculations.
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Tools
Public tool metadata for what this MCP can expose to an agent.
10 tools
get_recent_activitiesGet recent Strava activities (default: last 10)1 params
Get recent Strava activities (default: last 10)
Parameters* required
limitnumberNumber of activities (max 30)default: 10
get_activity_detailsGet detailed info for a specific activity1 params
Get detailed info for a specific activity
Parameters* required
activity_idstringActivity ID
get_weekly_statsWeekly training statistics (distance, time, training load)1 params
Weekly training statistics (distance, time, training load)
Parameters* required
weeksnumberNumber of weeks back (default: 4)default: 4
get_training_load_analysisAnalyze training load with ATL, CTL, TSB and get REST or TRAIN advice
Analyze training load with ATL, CTL, TSB and get REST or TRAIN advice
No parameter schema in public metadata yet.
get_weekly_training_planGet a weekly plan with recommended hours, workout types and intensities
Get a weekly plan with recommended hours, workout types and intensities
No parameter schema in public metadata yet.
get_gear_maintenanceList all bikes and shoes with total km and maintenance warnings
List all bikes and shoes with total km and maintenance warnings
No parameter schema in public metadata yet.
get_power_curveAnalyze best power outputs (5s, 1min, 5min, 20min, 60min), estimate FTP, and compare with previous month
Analyze best power outputs (5s, 1min, 5min, 20min, 60min), estimate FTP, and compare with previous month
No parameter schema in public metadata yet.
get_hr_zone_distributionAnalyze time spent in each HR zone (last 4 weeks) with training balance advice
Analyze time spent in each HR zone (last 4 weeks) with training balance advice
No parameter schema in public metadata yet.
get_hr_drift_analysisMeasure cardiac drift in steady rides — indicator of aerobic efficiency
Measure cardiac drift in steady rides — indicator of aerobic efficiency
No parameter schema in public metadata yet.
check_workout_qualityAnalyze interval consistency, power decoupling, and recovery for a specific activity1 params
Analyze interval consistency, power decoupling, and recovery for a specific activity
Parameters* required
activity_idstringActivity ID to analyze
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.
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
Troubleshooting
Connector not working? Remove and re-add the connector in Settings → Connectors.
Authentication error?
Check that your Strava API app has strava-mcp-web.vercel.app as the callback domain.
Website
Built with
- Model Context Protocol (MCP) — Anthropic's open standard for connecting AI to external tools
- Strava API v3 — Access to athlete activities and metrics
License
MIT
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Categories
Registryactive
Packagestrava-training-mcp
TransportSTDIO
UpdatedMar 26, 2026
