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Dockerized MCP Server Template

@zantis

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

作者

zantis

Dockerized MCP Server Template について

A reusable Dockerized Python server template implementing the Model Context Protocol (MCP) with Streamable HTTP transport, built using the official MCP Python SDK (v1.8.0+) for easy integration with Large Language Models (LLMs).

Dockerized MCP Server Template 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": {
    "dockerized-mcp-server-template": {
      "command": "python",
      "args": [
        "src/server.py"
      ]
    }
  }
}

Dockerized MCP Server Template 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 Dockerized MCP Server Template?

This repository provides a reusable template for a Python server implementing the Model Context Protocol (MCP), running in a Docker container and utilizing Streamable HTTP for real-time communication. It enables easy integration with Large Language Models (LLMs) by exposing data and functionality in a standardized way.

How to use Dockerized MCP Server Template?

Build and run with Docker Compose using docker-compose up --build, or run directly with Python after installing dependencies (pip install -r src/requirements.txt) by executing python src/server.py. The server becomes accessible at http://localhost:8080/mcp.

Key features of Dockerized MCP Server Template

  • Dockerized for easy deployment and portability
  • Uses Streamable HTTP for stateless, real-time communication
  • Built on the Python Model Context Protocol SDK (v1.8.0+)
  • Compatible with serverless architectures and standard web infrastructure
  • Includes an example add tool to demonstrate functionality
  • Eliminates persistent connections for better resource efficiency

Use cases of Dockerized MCP Server Template

  • Integrate LLM applications with custom tools and data via MCP
  • Deploy a production-ready MCP server in a Docker container
  • Build serverless-friendly MCP servers using stateless Streamable HTTP
  • Expose arithmetic or other simple functions to AI assistants

よくある質問

1

What transport protocol does this server use?

It uses Streamable HTTP, a stateless transport available starting with the Python MCP SDK v1.8.0.

2

What are the runtime dependencies?

Python 3, the packages listed in `src/requirements.txt`, and optionally Docker and Docker Compose for containerized deployment.

3

How do I build and run the server?

Run `docker-compose up --build` to build and start the containerized server. The server listens on port 8080 at `/mcp`.

4

What is the advantage of Streamable HTTP over SSE?

Streamable HTTP enables stateless operation, making MCP compatible with serverless architectures and standard web infrastructure, eliminating the need for persistent connections and improving resource efficiency.

5

Is there an example tool included?

Yes, the template includes a simple `add` tool that takes two integers and returns their sum.

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