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Dockerized MCP Server Template

@zantis

Repository

Basic information

Category

Developer Tools

License

MIT

Transports

stdio

Author

zantis

About Dockerized MCP Server Template

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 config

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

{
  "mcpServers": {
    "dockerized-mcp-server-template": {
      "command": "python",
      "args": [
        "src/server.py"
      ]
    }
  }
}

Dockerized MCP Server Template tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

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

Frequently asked questions

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.

Comments

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