# Strava

> Use this tool when you need to access and interact with fitness data from Strava to enable AI-powered fitness analysis, training insights, and route planning. It retrieves athlete profiles, activities, and routes, and exports them in GPX/TCX formats, handling authentication and data validation. Ideal for use cases requiring personal workout data analysis and integration with AI assistants.

Canonical page: https://skillsregistry.net/skills/r-huijts-strava  
JSON: https://api.skillsregistry.net/v1/skills/r-huijts-strava

## Description

A Strava API integration server that enables AI assistants to access and interact with fitness data through the MCP protocol. This implementation provides tools for retrieving athlete profiles, activities, segments, routes, and clubs from Strava, with features for exporting routes in GPX/TCX formats. It handles authentication with token refresh capabilities and includes data validation using Zod schemas. Ideal for fitness analysis, training insights, and route planning use cases where AI assistants need to work with personal workout data.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/r-huijts-strava)
- **Repository:** <https://github.com/r-huijts/strava-mcp>

## 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": "r-huijts-strava"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/r-huijts-strava` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/r-huijts-strava/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
