What is a Model Context Protocol (MCP) Server?

An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It presents data in a format that AI models can readily understand.

What kind of data can I access with the Fitbit MCP Server?

You can access a wide range of Fitbit data, including user profile information, activity logs, sleep data, heart rate data, step counts, body measurements, food logs, water consumption data, lifetime statistics, user settings, floors climbed, distance traveled, calories burned, active zone minutes, device information, and earned badges.

How do I get a Fitbit Access Token?

To get a Fitbit access token, create an application at the Fitbit Developer Portal, set the OAuth 2.0 Application Type to “Personal”, set the Callback URL to “http://localhost:3000”, note your Client ID and Client Secret, and use the OAuth 2.0 authorization flow.

How do I contribute to the Fitbit MCP Server project?

You can contribute to this open-source by forking the repository, creating your feature branch, committing your changes, pushing to the branch, and opening a Pull Request.

What are the benefits of using UBOS with the Fitbit MCP Server?

UBOS provides a streamlined deployment process, scalable and reliable infrastructure, robust security features, and seamless integration with other AI tools and services.