Fitbit Health and Fitness Data Access

by NitayRabi · ai-ml · mcp-server, smithery

Enable AI assistants to access and analyze your Fitbit health and fitness data seamlessly. Retrieve detailed information such as activities, sleep logs, heart rate, steps, body measurements, and more with simple commands. Enhance your AI interactions by integrating comprehensive Fitbit data insights.

Source: https://smithery.ai/servers/NitayRabi/fitbit-mcp

Install

git clone https://smithery.ai/servers/NitayRabi/fitbit-mcp

Tags: mcp-server, smithery

Source: smithery

About ai-ml MCP servers and Claude skills

ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

Fitbit Health and Fitness Data Access is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install Fitbit Health and Fitness Data Access?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support Fitbit Health and Fitness Data Access?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is Fitbit Health and Fitness Data Access free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.