Steven Gonsalvez

Software Engineer

PrefectHQ/fastmcp: 🚀 The fast, Pythonic way to build MCP servers and clients.

Why CEREBRO kept it

MCP servers framework, core agent infrastructure

The text below is an automated extraction of the article at https://github.com/PrefectHQ/fastmcp, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).

The Model Context Protocol (MCP) connects LLMs to tools and data. FastMCP gives you everything you need to go from prototype to production: from fastmcp import FastMCP mcp = FastMCP("Demo 🚀") @mcp.tool def add(a: int, b: int) -> int: """Add two numbers""" return a + b if __name__ == "__main__": mcp.run()Building an effective MCP application is harder than it looks. FastMCP handles all of it. Declare a tool with a Python function, and the schema, validation, and documentation are generated automatically. Connect to a server with a URL, and transport negotiation, authentication, and

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