# strava-mcp-server

> strava-mcp-server — madebydia-strava-mcp-server. Use this tool when you need to integrate Strava data into AI workflows, solving problems such as fitness tracking and route optimization. It provides a server interface for AI agents to input Strava API requests and output relevant data, such as activity records and athlete information. Ideal for use cases requiring automated analysis of fitness and athletic performance data.

Canonical page: https://skillsregistry.net/skills/madebydia-strava-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/madebydia-strava-mcp-server

## Description

Strava MCP server for AI agents.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/madebydia/strava-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "madebydia-strava-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/madebydia-strava-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/madebydia-strava-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt