# Hevy Garmin

> Use this tool when you need to unify your running and strength training data for a comprehensive fitness coaching experience. It solves problems of fragmented workout tracking and analysis by combining Garmin Connect and Hevy strength training logs, providing insights into recovery, performance, and progress. The tool accepts Garmin Connect and Hevy strength training data as inputs and outputs personalized coaching recommendations and analytics through a user-friendly interface.

Canonical page: https://skillsregistry.net/skills/leifmork-hevy-garmin  
JSON: https://api.skillsregistry.net/v1/skills/leifmork-hevy-garmin

## Description

Combines Garmin Connect running and recovery data with Hevy strength training logs into a unified fitness coaching interface. Provides tools for analyzing run splits, sleep and HRV recovery, heart rate zones, planned vs actual workout comparisons, exercise progression tracking, and volume-based overload calculations. Built as a Next.js application designed for Vercel deployment with Garmin session persistence via Vercel Blob storage.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

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

REST: `GET https://api.skillsregistry.net/v1/skills/leifmork-hevy-garmin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leifmork-hevy-garmin/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
