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  3. Strava Training MCP
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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:46:39 PM

Strava Training MCP

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Connect Strava training data to Claude for training load analysis and activity insights

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "strava-training-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "strava-training-mcp"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Strava MCP Server

MCP Badge

Connect your Strava training data to Claude. This MCP server turns Claude into your personal training coach β€” 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.

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

2. Add the connector

  1. Open Claude Desktop or claude.ai
  2. Go to Settings β†’ Connectors β†’ Add custom connector
  3. Paste this URL and save:
Code
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:

ToolDescription
get_recent_activitiesYour last activities with distance, duration, and heart rate
get_activity_detailsDeep dive into a specific activity β€” power, HR, speed, suffer score
get_training_load_analysisATL, CTL, TSB with training advice and 8-week trends
get_weekly_statsWeekly volume β€” activities, kilometers, hours
get_weekly_training_planWeekly plan based on current fitness and fatigue
get_gear_maintenanceBike/shoe km totals with chain, cassette, tire warnings
get_power_curveBest power outputs (5s–60min), FTP estimate, monthly comparison
get_hr_zone_distributionTime in each HR zone with polarized training advice
get_hr_drift_analysisCardiac drift in steady rides β€” aerobic efficiency indicator
check_workout_qualityInterval 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 β€” am I on track?"

How it works

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

Training load analysis uses the standard PMC model:

  • ATL (7-day) β€” how tired you are now
  • CTL (42-day) β€” your fitness level
  • TSB β€” CTL minus ATL. Positive = fresh, negative = fatigued
  • Ramp rate β€” 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 β€” 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 β†’ Connectors.

Authentication error? Check that your Strava API app has strava-mcp-web.vercel.app as the callback domain.

Website

strava-mcp-web.vercel.app

Built with

  • Model Context Protocol (MCP) β€” Anthropic's open standard for connecting AI to external tools
  • Strava API v3 β€” Access to athlete activities and metrics

License

MIT

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Frequently Asked Questions about Strava Training MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "strava-training-mcp": { "command": "npx", "args": ["-y", "Strava Training MCP"] } }

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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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