# Strava MCP Server

> Use this tool when you need to analyze fitness activity data from Strava, such as runs, rides, and swims, and retrieve insights through natural language queries. It solves problems related to accessing and interpreting large amounts of activity data, providing a user-friendly interface for AI assistants to input queries and receive relevant outputs. This tool is ideal for use cases where fitness data analysis is required, such as athlete performance tracking or health monitoring.

Canonical page: https://skillsregistry.net/skills/groundcobra009-strava-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/groundcobra009-strava-mcp-server

## Description

Enables AI assistants to directly access and analyze Strava activity data, including runs, rides, and swims, through natural language queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x8dgk2ox7u)
- **Repository:** <https://github.com/groundcobra009/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": "groundcobra009-strava-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/groundcobra009-strava-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/groundcobra009-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