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FastMCP v2 MCP Server

@Sobroinc

リポジトリ

基本情報

カテゴリ

クラウドとインフラ

ライセンス

Apache-2.0 license

トランスポート

stdio

作者

Sobroinc

FastMCP v2 MCP Server について

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

#fastmcp#mcp#python

FastMCP v2 MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

FastMCP v2 MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is FastMCP v2 🚀?

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 🚀?

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 🚀?

  • 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 🚀?

  • 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

よくある質問

1

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.

2

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.

3

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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