# strava-mcp

> Use this tool when you need to integrate Strava data into your application, enabling queries on activities, athlete stats, segments, and routes, and perform training analysis. It solves problems related to accessing and analyzing fitness data, providing insights for athletes and coaches. The tool accepts queries as input and returns relevant Strava data as output, making it ideal for use cases involving fitness tracking, performance analysis, and personalized training recommendations.

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

## Description

MCP server for Strava integration, enabling LLMs to query activities, athlete stats, segments, routes, and perform training analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2swkalsh2)
- **Repository:** <https://github.com/eddmann/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": "eddmann-strava-mcp"
    }
  }
}
```

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