# google-health-mcp-server

> Use this tool when you need to integrate health data from Google Health API into AI assistants or sync metrics to an Obsidian vault. It reads daily activity, sleep, heart rate, and body metrics, enabling access to personalized health insights. Ideal for use cases requiring automated health data retrieval and analysis, such as AI-powered wellness tracking or journaling.

Canonical page: https://skillsregistry.net/skills/madfreakz-google-health-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/madfreakz-google-health-mcp-server

## Description

MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rast62w0b8)
- **Repository:** <https://github.com/madfreakz/google-health-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": "madfreakz-google-health-mcp-server"
    }
  }
}
```

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