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FastMCP v2 🚀

@Sobroinc

FastMCP server containerized for deployment in Google Kubernetes Engine alongside enhanced-mcp-agent
Overview

What is FastMCP?

FastMCP is a Python framework designed to simplify the creation of servers and clients that utilize the Model Context Protocol (MCP), providing a standardized way to connect large language models (LLMs) to various resources and functionalities.

How to use FastMCP?

To use FastMCP, you can create a server by instantiating the FastMCP class and defining tools and resources using decorators. Run the server locally with the command fastmcp run server.py.

Key features of FastMCP?

  • High-level, Pythonic interface for building MCP servers and clients.
  • Automatic generation of OpenAPI specs and FastAPI applications.
  • Built-in testing tools and support for authentication.
  • Modular design allowing for server composition and proxying.

Use cases of FastMCP?

  1. Building LLM applications that require context and resource management.
  2. Creating APIs that expose functionalities to LLMs.
  3. Developing modular applications with multiple interconnected MCP servers.

FAQ from FastMCP?

  • What is the Model Context Protocol (MCP)?

MCP is a standardized way to provide context and tools to LLMs, allowing for secure and efficient interactions.

  • Is FastMCP suitable for production use?

Yes, FastMCP is designed with production-ready features, including authentication and testing tools.

  • How can I contribute to FastMCP?

Contributions are welcome! You can fork the repository, create a feature branch, and submit a pull request after ensuring tests pass.

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