# Strava MCP Server

> Use this tool when you need to access and analyze fitness data from Strava, integrating athlete profiles, activity history, and segment statistics into AI-powered applications. It solves problems related to fitness tracking, performance analysis, and geographic data exploration, providing detailed metrics and insights through natural language commands. The Strava MCP Server takes in API queries and returns structured fitness data, ideal for use cases involving personalized fitness coaching, athletic performance optimization, and health monitoring.

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

## Description

Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zkcawnr4dz)
- **Repository:** <https://github.com/juanlarreapm/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": "juanlarreapm-strava-mcp-server"
    }
  }
}
```

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