io.github.davidmosiah/strava-mcp

delx-wellness-hermes

Privacy-first MCP server for Strava activities, streams, routes and training.

0 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 5d ago

Works with most clients

Transport: stdio, sse

0 tools

Grade F

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Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

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What io.github.davidmosiah/strava-mcp does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'delx-wellness-hermes' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

56/100across 5 weighted dimensions

How we score →

0255075100

−44

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Security

OSV.dev

No known CVEs.

Checked delx-wellness-hermes against OSV.dev.

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Frequently Asked Questions

Is io.github.davidmosiah/strava-mcp safe to use?: io.github.davidmosiah/strava-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.davidmosiah/strava-mcp?: io.github.davidmosiah/strava-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.davidmosiah/strava-mcp?: io.github.davidmosiah/strava-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.davidmosiah/strava-mcp actively maintained?: io.github.davidmosiah/strava-mcp is actively maintained — last commit was 5 days ago.

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Community

Discussion

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Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

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.

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.

Frequently Asked Questions

Is io.github.davidmosiah/strava-mcp safe to use?

io.github.davidmosiah/strava-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.davidmosiah/strava-mcp?

io.github.davidmosiah/strava-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.davidmosiah/strava-mcp?

io.github.davidmosiah/strava-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is io.github.davidmosiah/strava-mcp actively maintained?

io.github.davidmosiah/strava-mcp is actively maintained — last commit was 5 days ago.

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.

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.

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

Setup in 60 seconds

You'll need a Strava app (create one here) with redire

... View full README on GitHub