# Strava Training MCP

> Use this tool when you need to analyze athlete performance and training data for marathon racing, as it provides comprehensive access to Strava API for querying athlete data, tracking performance metrics, and detecting injury risks. It solves problems related to training pattern analysis, performance optimization, and injury prevention. The tool accepts athlete IDs and training data as inputs and outputs detailed performance metrics, heart rate zones, and injury risk assessments.

Canonical page: https://skillsregistry.net/skills/hxie-pallas-strava-training-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hxie-pallas-strava-training-mcp

## Description

Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zn8bovvmhr)
- **Repository:** <https://github.com/hxie-pallas/strava-training-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": "hxie-pallas-strava-training-mcp"
    }
  }
}
```

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