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Strava MCP Server and API by Cotlet

Strava MCP Server and API by Cotlet

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cotlet.devHealth0Updated 2d ago

About Strava MCP Server and API by Cotlet

Strava MCP Server lets AI agents list activities and update their gear, for athletes who want to manage training records in natural language. It connects to a signed-in Strava account and offers both a hosted service and local stdio forwarding.

Key features

  1. 01List running and cycling activities
  2. 02View distance, moving time, and elevation
  3. 03Update activity gear
  4. 04Filter activities by time
  5. 05Connect and check status from the CLI

Use cases

  1. 01Summarize rides from the past week
  2. 02Set shoes on recent running activities
  3. 03Find this month's longest runs and shoes worn
  4. 04Count runs recorded with a particular shoe

MCP support

It exposes Strava tools to MCP clients. Its local stdio server forwards tool calls to Cotlet.dev's hosted service.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://cotlet.dev/mcp/v1/strava/connect
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://cotlet.dev/mcp/v1/strava/connect
Streamable HTTPhttps://cotlet.dev/mcp/v1/stravaAuth required

Tools

Details

From the project README

How to connect Strava to Claude Code, ChatGPT and any AI agent

Yes, Claude, ChatGPT and other AI agents can work in your Strava account. Strava's official Claude connector is read-only and only for Strava subscribers, and Strava has no official ChatGPT app. Cotlet.dev connects your own signed-in Strava account to any AI agent, so you can ask in plain words and the AI lists your activities and updates their gear for you.

What you can ask

List all my rides from the last 7 days with distance, moving time and elevation gain.

Set the gear on every run since October 1 to my Nike Pegasus 41.

Change the bike on Saturday's 82 km ride to my Canyon Endurace.

Show my 10 longest runs this month and which shoes I wore for each one.

How many km are on my Hoka Clifton 9? List the runs logged with them since August.

Connect in 2 minutes

Get your API key at https://cotlet.dev/app and export it as COTLET_API_KEY.

Claude Code
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
ChatGPT

Settings → Apps → add connector URL https://cotlet.dev/mcp/v1, then sign in with Cotlet.dev. No API key needed.

Cursor

Copy .cursor/mcp.json from this repo into your project:

{
  "mcpServers": {
    "cotlet": {
      "url": "https://cotlet.dev/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${COTLET_API_KEY}"
      }
    }
  }
}

Run it locally (stdio)

This repo is a real MCP server. It speaks MCP over stdio, lists its Strava tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.

{"mcpServers":{"strava":{"command":"uvx","args":["strava-cotlet-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}

Or with Docker:

docker build -t strava-mcp .
docker run -i --rm -e COTLET_API_KEY strava-mcp

Tools: strava_guide, strava_status, strava_open, strava_read, strava_click, strava_type, strava_close. Without COTLET_API_KEY a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".

Command line

Python 3.10+, nothing else to install. From PyPI:

pip install strava-cotlet-mcp        # or run it once: uvx strava-cotlet-mcp connect
strava-cotlet-mcp connect

Or straight from this repo:

export COTLET_API_KEY="your-key"
python3 strava_agent.py connect   # ready config for Claude Code, Cursor, ChatGPT
python3 strava_agent.py status    # is Strava ready in your Cotlet.dev account
python3 strava_agent.py guide     # Strava screens and sign-in link
python3 strava_agent.py read      # open Strava, read the page, close the browser
python3 strava_agent.py tools     # list Cotlet.dev tools
python3 strava_agent.py serve     # start the stdio MCP server (same as no argument)

Questions from Strava users

Does Strava have an API?

Strava has an official API and, since 1 June 2026, an official MCP connector (checked 27 Oct 2026). The MCP is read-only, works with Claude only and needs a paid Strava subscription. Cotlet.dev works in your own signed-in Strava account, so your AI agent can list activities and update gear with no API key and no code.

Is there an official Strava integration for ChatGPT?

Strava has no official ChatGPT app. It lists Claude and Gemini as its supported assistants. Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to Strava once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no Strava API key.

Is there a Strava connector for Claude?

Yes. Strava has an official read-only Claude connector for subscribers. To also update activity gear, run the one-line claude mcp add command above in Claude Code. In the Claude app, add https://cotlet.dev/mcp/v1 as a custom connector. Claude then works in your own Strava account through Cotlet.dev.

Is there a Strava MCP server?

Strava offers an official, Anthropic-verified connector for Claude with read-only access for subscribers. Cotlet.dev is a hosted MCP server that works in Strava for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier, including updating activity gear.

Find it on

Also works with


More: https://cotlet.dev/integrations/strava-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=strava

Start free: https://cotlet.dev/signup?app=strava&utm_source=github&utm_medium=readme&utm_campaign=strava

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