
Strava Training MCP
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.
- tools
- 10
- transport
- STDIO
- last updated
- Mar 26, 2026
Tools
10 toolsPublic tool metadata for what this MCP can expose to an agent.
get_recent_activitiesGet recent Strava activities (default: last 10)1 params
Get recent Strava activities (default: last 10)
limitnumberget_activity_detailsGet detailed info for a specific activity1 params
Get detailed info for a specific activity
activity_idstringget_weekly_statsWeekly training statistics (distance, time, training load)1 params
Weekly training statistics (distance, time, training load)
weeksnumberget_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
activity_idstringSponsors
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
Details
- Repository
- github.com/arjanlig/strava-mcp
- Category
- Data & Analytics
- Package
strava-training-mcp- Transport
- STDIO
- Registry
- MCP registry, active