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FastMCP v2 πŸš€

@Sobroinc

About FastMCP v2 πŸš€

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

Basic information

Category

Cloud & Infrastructure

License

Apache-2.0 license

Runtime

python

Transports

stdio

Publisher

Sobroinc

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "fast-mcp": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "fastmcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is FastMCP v2 πŸš€?

FastMCP v2 is the standard Python framework for building and interacting with Model Context Protocol (MCP) servers and clients. It provides a high-level, Pythonic interface for exposing tools, resources, and prompts, and includes advanced features like client support, server composition, authentication, and automatic generation from OpenAPI specs.

How to use FastMCP v2 πŸš€?

Install with uv pip install fastmcp, then create a server instance with FastMCP("name") and decorate Python functions as tools, resources, or prompts. Run locally with fastmcp run server.py or mcp.run(). Use the Client class to connect to any MCP server programmatically via stdio, SSE, or in-memory transports.

Key features of FastMCP v2 πŸš€?

  • Build tools, resources, and prompts with minimal boilerplate
  • Client support for stdio, SSE, and in-memory transports
  • Server composition and proxy servers for remote MCP servers
  • Automatic generation of MCP servers from OpenAPI specs
  • Built-in in-memory testing via FastMCPTransport
  • Authentication and security features for production deployments

Use cases of FastMCP v2 πŸš€?

  • Expose custom Python functions as tools for LLMs
  • Serve static or dynamic data resources to AI applications
  • Build reusable prompt templates for AI assistants
  • Convert existing OpenAPI specifications into MCP servers
  • Test MCP server logic without network overhead using in-memory transport
  • Unify multiple MCP servers under a single client interface

FAQ from FastMCP v2 πŸš€?

What is the Model Context Protocol (MCP)?

MCP is a standardized way for LLM applications to securely access data and functionality. It is described as "the USB-C port for AI" and lets servers expose resources, tools, and prompts.

How does FastMCP v2 differ from the official MCP Python SDK?

FastMCP 1.0 was incorporated into the official low-level Python SDK. FastMCP 2.0 is a complete toolkit that goes beyond the core protocol, adding client libraries, authentication, server composition, OpenAPI generation, testing tools, and production-ready infrastructure.

What transports does the FastMCP Client support?

The Client supports Stdio, SSE, and In-Memory transports. It often auto-detects the correct transport from the connection string and also supports connecting to multiple servers through a unified

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