# Hevy Fitness

> Use this tool when you need to manage comprehensive workout and routine data, solve problems related to fitness tracking and analysis, or build AI assistants that require programmatic access to fitness data. It provides 15 specialized tools covering workouts, routines, and exercise templates, with inputs including API requests and outputs featuring paginated lists, updated workouts, and webhook notifications. Ideal for use cases involving automated fitness data retrieval and modification, such as workout analysis and AI-powered fitness assistants.

Canonical page: https://skillsregistry.net/skills/chrisdoc-hevy-fitness  
JSON: https://api.skillsregistry.net/v1/skills/chrisdoc-hevy-fitness

## Description

This MCP server provides AI assistants with direct access to the Hevy Fitness API for comprehensive workout and routine management through 15 specialized tools covering workouts, routines, exercise templates, routine folders, and webhook subscriptions. Built using TypeScript with Kubb-generated API clients from OpenAPI specifications, Zod validation, and comprehensive error handling, it offers tools for retrieving paginated workout lists, creating and updating workouts with exercises and sets, managing routine libraries with folder organization, searching exercise templates by muscle groups, and setting up webhook notifications for workout events. The implementation features automatic API client generation ensuring type safety, response formatting with proper error propagation, and supports both data retrieval and modification operations, making it valuable for fitness tracking workflows, workout analysis, and building AI assistants that need programmatic access to Hevy's fitness data without manual app interaction.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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