ag2-mcp-servers_fitness-api
If you are the rightful owner of ag2-mcp-servers_fitness-api and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project is an MCP (Multi-Agent Conversation Protocol) Server for the Google Fitness API, auto-generated using AG2's MCP builder.
The MCP Server is designed to facilitate multi-agent conversations by leveraging the OpenAPI specification of the Google Fitness API. It is built using Python 3.9+ and provides a robust framework for managing and interacting with multiple agents in a conversational context. The server supports various transport modes, including stdio, SSE, and streamable HTTP, allowing for flexible integration with different systems. It is equipped with tools for linting, formatting, static analysis, and testing, ensuring high code quality and reliability. The server can be configured using environment variables, making it adaptable to different deployment environments. Additionally, it supports pre-commit hooks to maintain code integrity and uses Hatch for building and publishing, streamlining the development and deployment process.
Features
- Supports multiple transport modes: stdio, SSE, and streamable HTTP.
- Configurable via environment variables for flexible deployment.
- Includes tools for linting, formatting, static analysis, and testing.
- Pre-commit hooks for maintaining code integrity.
- Uses Hatch for building and publishing the project.