FastMCP 🚀

What is FastMCP? FastMCP is a Python library designed to simplify the creation of Model Context Protocol (MCP) servers, allowing developers to expose data and functionality to large language models (LLMs) in a standardized way. How to use FastMCP? To use FastMCP, install it via pip, create a Python script defining your MCP server, and use decorators to add tools and resources. Run the server using the FastMCP CLI commands. Key features of FastMCP? Fast: High-level interface for rapid development. Simple: Minimal boilerplate code required to build MCP servers. Pythonic: Intuitive for Python developers, leveraging familiar syntax. Complete: Aims to provide a full implementation of the MCP specification. Use cases of FastMCP? Building interactive tools for LLMs. Exposing APIs for data retrieval and manipulation. Creating educational applications that utilize LLMs for enhanced learning experiences. FAQ from FastMCP? Can FastMCP be used for any LLM? Yes! FastMCP is designed to work with any LLM that supports the Model Context Protocol. Is FastMCP free to use? Yes! FastMCP is open-source and available for free. How do I contribute to FastMCP? You can contribute by forking the repository, making changes, and submitting a pull request.

As an MCP (Model Context Protocol) server, FastMCP 🚀 enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use FastMCP, install it via pip, create a Python script defining your MCP server, and use decorators to add tools and resources. Run the server using the FastMCP CLI commands. Key features of FastMCP? Fast: High-level interface for rapid development. Simple: Minimal boilerplate code required to build MCP servers. Pythonic: Intuitive for Python developers, leveraging familiar syntax. Complete: Aims to provide a full implementation of the MCP specification. Use cases of FastMCP? Building interactive tools for LLMs. Exposing APIs for data retrieval and manipulation. Creating educational applications that utilize LLMs for enhanced learning experiences. FAQ from FastMCP? Can FastMCP be used for any LLM? Yes! FastMCP is designed to work with any LLM that supports the Model Context Protocol. Is FastMCP free to use? Yes! FastMCP is open-source and available for free. How do I contribute to FastMCP? You can contribute by forking the repository, making changes, and submitting a pull request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.