# hevy-mcp-server

> hevy-mcp-server — adamdavies1915-hevy-mcp-server. Use this tool when you need to integrate AI-powered fitness tracking into your application, enabling users to manage their workouts and track progress through conversational interfaces. It solves problems such as manual workout logging and routine management by providing a natural language interface to the Hevy fitness tracking API. The tool accepts natural language inputs and returns relevant fitness data, making it ideal for use cases where users want to interact with their fitness trackers using voice or text commands.

Canonical page: https://skillsregistry.net/skills/adamdavies1915-hevy-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/adamdavies1915-hevy-mcp-server

## Description

Enables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p9r5nmez6v)
- **Repository:** <https://github.com/adamdavies1915/hevy-mcp-server>

## 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": "adamdavies1915-hevy-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamdavies1915-hevy-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamdavies1915-hevy-mcp-server/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