Strava MCP

Give your AI agent your Strava activities, streams, segments and routes — locally.
Local-first MCP server — tokens never leave your machine.

⚡ One-command install with Delx Wellness for Hermes: npx -y delx-wellness-hermes setup — preconfigures this connector and the other 8 in a dedicated Hermes profile.

Or wire it standalone into Claude Desktop / Cursor / ChatGPT Desktop — see the install section below.

HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

npx -y strava-mcp-unofficial --http
# GET  http://127.0.0.1:3000/health
# POST http://127.0.0.1:3000/mcp   (sessionless)

Env: STRAVA_MCP_HOST, STRAVA_MCP_PORT, STRAVA_MCP_TRANSPORT=http.

Local-first MCP server that connects AI agents to your Strava activities, routes, streams and training context.

Unofficial project. Not affiliated with, endorsed by or supported by Strava, Inc. Strava is a trademark of its respective owner. Use this only with your own Strava account and in line with Strava's API agreement.

Built by David Mosiah for people who use Claude, Cursor, Hermes, OpenClaw or other MCP-compatible agents to think about training, endurance and performance — without copy-pasting numbers from Strava.

Part of Delx Wellness, a registry of local-first wellness MCP connectors.

If this connector helps your agent workflow, please star the repo. Stars make the project easier for other AI builders to discover and help Delx keep shipping local-first wellness infrastructure.

Why this exists

Strava holds the long memory of your training — every ride, run, swim, segment, route and stream. But it lives behind an OAuth API with strict rate limits (200 req/15min, 2k/day per app) and GPS data that's privacy-sensitive by default.

This package does the OAuth dance locally, throttles under Strava's per-app limits, redacts GPS lat/lng unless you explicitly opt in, and exposes Strava through the Model Context Protocol. Any MCP-compatible agent gets your training context with one config snippet. Tokens never leave your machine.

Quickstart

From zero to your first agent call in about a minute. You only need a Strava app (create one here) with redirect URI http://127.0.0.1:3000/callback.

1. Paste your app's client id + secret (interactive, stored at ~/.strava-mcp/config.json with 0600):

npx -y strava-mcp-unofficial setup

2. Authorize Strava. auth opens your browser; --no-open prints the URL so you can paste it yourself (handy on a headless box). Tokens are saved locally — the command never prints them:

$ npx -y strava-mcp-unofficial auth --no-open
Strava MCP · Authorization

Open this URL manually:
  https://www.strava.com/oauth/authorize?client_id=12345&redirect_uri=http%3A%2F%2F127.0.0.1%3A3000%2Fcallback&response_type=code&approval_prompt=auto&scope=read%2Cactivity%3Aread_all%2Cprofile%3Aread_all&state=aa38f29b

Steps
  1. Approve access in the browser tab that opens.
  2. Strava will redirect to the local callback.
  3. Tokens are saved locally; this command never prints them.

Waiting for callback...

3. Verify you're ready — doctor confirms scopes and setup without calling Strava:

$ npx -y strava-mcp-unofficial doctor
Strava MCP · Doctor
Status: READY ✓

Checks
  ✓  Node.js >=20
  ✓  Env vars
  ✓  Local config
  ✓  Automatic auth redirect
  ✓  Token file
  ✓  Token permissions
  ✓  Refresh token
  ✓  OAuth scopes
  ·  Privacy mode
  ·  Cache

Next steps
  1. Ready. Add this MCP server to your agent and start with strava_daily_summary.

If OAuth scopes shows a ✗, re-run auth and approve activity:read_all profile:read_all read.

4. Make a first call — no live account required. Ask your agent to run strava_demo. It returns realistic, synthetic payloads (tagged is_demo: true) so you can wire prompts before connecting real data:

> Call strava_demo and summarize my week.

# Strava Demo

- **is_demo**: true
- **recent_sessions**: 3
- **load_classification**: moderate
- **primary_signal**: Recent Strava load is manageable; use intent and consistency as the main lever.
- **recommended_handoff**: exercise_catalog_recommend_session

Call it with response_format: "json" for the full shapes. The sample block mirrors strava_daily_summary, strava_training_context and strava_list_activities key-for-key — npm run test:demo-contract runs the real builders over fixtures/strava-activities.mjs and fails the build if the demo ever invents a field or omits one. Swap strava_demo for the real tool and the same shape arrives filled with your Strava data.

5. Wire it into your MCP client:

{
  "mcpServers": {
    "strava": {
      "command": "npx",
      "args": ["-y", "strava-mcp-unofficial"]
    }
  }
}

For Claude Desktop, run setup --client claude and the snippet is written for you. For Hermes, see Hermes / remote setup below.

Try it with your agent

Three things to ask first:

Use strava_connection_status to check setup, then run strava_daily_summary.
Tell me what my training context looks like in 5 lines.

Call strava_weekly_summary with response_format=json. Find my biggest
load/intensity bottleneck and give me a next-week endurance plan.

Use the strava_activity_stream_investigator prompt for activity_id=<id>.
Don't expose GPS unless I explicitly ask for it.

Data availability

This package uses the official Strava API v3. When this README says raw, it means the upstream Strava JSON for a supported endpoint — not continuous device telemetry.

Tools

Start with these:

• strava_connection_status — verify local setup, scopes and readiness before calling Strava
• strava_data_inventory — inventory supported data domains, scopes, privacy modes and recommended first calls without calling Strava APIs.
• strava_daily_summary — latest activity, weekly load and intensity context for today
• strava_weekly_summary — scorecard, comparison vs prior week, next-week training plan

Auth & diagnostics

• strava_capabilities, strava_agent_manifest, strava_privacy_audit, strava_cache_status
• strava_get_auth_url, strava_exchange_code, strava_revoke_access

Athlete & training

• strava_get_athlete, strava_get_zones, strava_get_athlete_stats

Activities & streams

• strava_list_activities, strava_get_activity, strava_get_activity_zones
• strava_activity_series, strava_get_activity_streams — GPS lat/lng requires include_gps=true or raw mode

Routes & context

• strava_list_routes, strava_get_route, strava_list_clubs, strava_get_gear

Prompts

• strava_daily_training_director — practical daily training brief
• strava_weekly_endurance_review — week comparison + next-week endurance plan
• strava_activity_stream_investigator — investigate one activity using streams (GPS-aware)

Each accepts timezone (IANA, default UTC).

Resources

• strava://capabilities, strava://agent-manifest
• strava://athlete
• strava://latest/activity
• strava://summary/daily, strava://summary/weekly