Fitness
An MCP server that provides an interface to Google's Fitness API, enabling interaction with fitness data through natural language using the Multi-Agent Conversation Protocol.
What is Fitness?
Fitness is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that provides an interface to google's fitness api, enabling interaction with fitness data through natural language using the multi-agent conversation protocol.
An MCP server that provides an interface to Google's Fitness API, enabling interaction with fitness data through natural language using the Multi-Agent Conversation Protocol.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An MCP server that provides an interface to Google's Fitness
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx fitness-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Fitness
What is Fitness?
Fitness is a Model Context Protocol (MCP) server that mcp server that provides an interface to google's fitness api, enabling interaction with fitness data through natural language using the multi-agent conversation protocol. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Fitness?
Follow the installation instructions on the Fitness GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Fitness?
Fitness works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Fitness free to use?
Yes, Fitness is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Fitness in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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