# Fitbit MCP Server

> Use this tool when you need to integrate large language models (LLMs) with Fitbit user data, enabling seamless retrieval of health and fitness information through a standardized protocol. It solves problems related to data accessibility and compatibility, allowing LLMs to request and receive user data through defined tools and interfaces. This server accepts LLM requests as input and outputs relevant Fitbit user data, making it ideal for applications requiring personalized health and fitness insights.

Canonical page: https://skillsregistry.net/skills/thedigitalninja-mcp-fitbit  
JSON: https://api.skillsregistry.net/v1/skills/thedigitalninja-mcp-fitbit

## Description

A Model Context Protocol server that bridges LLMs (like Claude) with the Fitbit API, allowing the LLM to request and retrieve user health and fitness data through defined tools.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jcowqolhlh)
- **Repository:** <https://github.com/TheDigitalNinja/mcp-fitbit>

## 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": "thedigitalninja-mcp-fitbit"
    }
  }
}
```

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