Strava Training MCP
Connect your Strava training data to Claude.
What it can do
- Get Recent Activities: Get recent Strava activities (default: last 10)
- Get Activity Details: Get detailed info for a specific activity
- Get Weekly Stats: Weekly training statistics (distance, time, training load)
What data it sees
Do you need an account
No: the server works without sign-in
Connect your Strava training data to Claude. Turns Claude into your personal
training coach — analyzing training load (ATL/CTL/TSB), planning workouts,
tracking gear maintenance, and providing power and heart rate analysis. Works
with cycling, running, and any sport you track on Strava.
Tools
- Training load analysis — ATL, CTL, TSB with ramp rate and injury risk warnings
- Weekly training plan — personalized based on current fitness and fatigue
- Activity details — power, HR, speed, suffer score deep dives
- Power curve — best efforts from 5s to 60min with FTP estimate
- HR zone distribution — polarized training analysis
- Cardiac drift — aerobic efficiency tracking
- Gear maintenance — chain, cassette, tire km warnings
- Workout quality — interval consistency and recovery scoring
How to connect
How to connect Strava Training MCP to Claude
The server address to paste into Claude settings:
https://strava-mcp--arjanlig.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Strava Training MCP to ChatGPT
The server address to paste into ChatGPT settings:
https://strava-mcp--arjanlig.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Strava Training MCP to Cursor
The server address to paste into Cursor settings:
https://strava-mcp--arjanlig.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (10)
Raw names from tools/list. Only developers need these.
| get_recent_activities | Get recent Strava activities (default: last 10) |
| get_activity_details | Get detailed info for a specific activity |
| get_weekly_stats | Weekly training statistics (distance, time, training load) |
| get_training_load_analysis | Analyze training load with ATL, CTL, TSB and get REST or TRAIN advice |
| get_weekly_training_plan | Get a weekly plan with recommended hours, workout types and intensities |
| get_gear_maintenance | List all bikes and shoes with total km and maintenance warnings |
| get_power_curve | Analyze best power outputs (5s, 1min, 5min, 20min, 60min), estimate FTP, and compare with previous month |
| get_hr_zone_distribution | Analyze time spent in each HR zone (last 4 weeks) with training balance advice |
| get_hr_drift_analysis | Measure cardiac drift in steady rides — indicator of aerobic efficiency |
| check_workout_quality | Analyze interval consistency, power decoupling, and recovery for a specific activity |