# personal-fitbit-mcp-server

> Use this tool when you need to access and analyze Fitbit health data, such as activity, sleep, and heart rate, to provide personalized insights and recommendations through natural language interactions. It solves problems related to health and wellness tracking, enabling AI assistants to retrieve and analyze user data via the Fitbit Web API. With inputs of natural language queries and outputs of relevant health data, use this tool in contexts where personalized health and fitness guidance is required.

Canonical page: https://skillsregistry.net/skills/hiro-777-sky-fitbit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hiro-777-sky-fitbit-mcp

## Description

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmt5bribs5)
- **Repository:** <https://github.com/hiro-777-sky/fitbit_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": "hiro-777-sky-fitbit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hiro-777-sky-fitbit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hiro-777-sky-fitbit-mcp/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