# Strava

> Use this tool when you need to access and analyze fitness activity data, such as GPS streams and training metrics, to gain insights into user performance and behavior. It solves problems related to data retrieval, processing, and storage by providing configurable payload modes and optional caching. The tool takes in user credentials and API requests, and outputs structured or raw data in various formats.

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

## Description

Connects to Strava's OAuth API to access fitness activities, GPS streams, routes, and training data. Supports configurable payload modes including summary, structured, and raw formats. Optional SQLite caching reduces API calls while maintaining performance.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

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

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