# Fitness MCP Server

> Use this tool when you need to interact with fitness data through natural language conversations, enabling seamless access to Google's Fitness API. It solves problems related to fitness data management, tracking, and analysis by providing a conversational interface. The Fitness MCP Server accepts natural language inputs and returns relevant fitness data outputs, making it ideal for use cases that require intuitive and user-friendly fitness data interaction.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-fitness-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fitness-api

## Description

An MCP server that provides an interface to Google's Fitness API, enabling interaction with fitness data through natural language using the Multi-Agent Conversation Protocol.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qwq8top0rq)
- **Repository:** <https://github.com/ag2-mcp-servers/fitness-api>

## 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": "ag2-mcp-servers-fitness-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fitness-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-fitness-api/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