# Strava

> Use this tool when you need to access athlete activity data, segment information, and leaderboards from Strava. It solves problems related to training data analysis, performance metric comparison, and progress tracking for athletes and coaches. The tool takes authentication tokens as input and outputs detailed activity information, enabling seamless integration with AI assistant conversations.

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

## Description

A Model Context Protocol server that provides AI assistants with direct access to the Strava API, enabling retrieval of athlete activities, detailed activity information, segment data, and leaderboards. Built with FastMCP and structured using a clean architecture pattern with separate API, service, and model layers, this implementation handles authentication token management automatically and provides comprehensive error handling. Particularly valuable for athletes and coaches who want to analyze training data, compare performance metrics, or track progress across activities without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yorrickjansen-strava)
- **Repository:** <https://github.com/yorrickjansen/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": "yorrickjansen-strava"
    }
  }
}
```

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