# Strava

> Use this tool when you need to access and analyze fitness and activity tracking data from Strava, enabling use cases such as athletic performance analysis, fitness goal tracking, or building custom applications. It provides programmatic access to Strava data through the Model Context Protocol SDK and Python implementation. Ideal for developers and analysts requiring structured data from Strava to inform their applications or insights.

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

## Description

This MCP server implementation provides integration with the Strava API, enabling access to fitness and activity tracking data. Developed by rbctmz, it utilizes Python and the Model Context Protocol SDK. The server is designed for use cases requiring programmatic access to Strava data, such as analyzing athletic performance, tracking fitness goals, or building custom applications that leverage user activity information from Strava.

## 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:** api-integration
- **Updated:** 2026-04-25

## Source

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

## 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": "rbctmz-strava"
    }
  }
}
```

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

---
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