# Strava MCP Server

> Use this tool when you need to retrieve athlete statistics and activity data from Strava, allowing AI agents to interact with the Strava API and fetch detailed information on recent activities and specific workout sessions. It solves problems related to accessing and analyzing athlete performance data, providing inputs such as athlete IDs and activity IDs, and outputs including activity lists and detailed workout data. Ideal for use cases requiring fitness tracking and performance analysis, such as training planning and athlete monitoring.

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

## Description

Enables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zrp7andiie)
- **Repository:** <https://github.com/saxenanurag/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": "saxenanurag-strava-mcp"
    }
  }
}
```

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