Python MCP Server Starter Template

@ltwlf

Basic information

About Python MCP Server Starter Template

Opinionated starter kit for building Model-Context-Protocol (MCP) server in Python — clean project scaffold, typed code, VS Code debug config, Docker & GitHub Actions ready out-of-the-box

Python MCP Server Starter Template config

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

{
  "mcpServers": {
    "python-mcp-starter": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Python MCP Server Starter 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 Python MCP Server Starter Template?

It is a template repository for building Python applications using the Model Context Protocol (MCP) and the MCP Python SDK. It provides a clean, modular architecture for exposing MCP Tools and Resources, along with development tooling, debugging, and Docker support, targeting developers creating MCP servers.

How to use Python MCP Server Starter Template?

Clone the repository and rename the project package and scripts. Create a virtual environment with uv venv, activate it, then install dependencies with uv pip install -e ".[dev]". Run the server in stdio mode using uv run your-script-name or mcp dev ./your_package_name/server.py, or in SSE mode with uv run your-script-name --sse. Optionally, deploy with Docker via docker-compose up -d.

Key features of Python MCP Server Starter Template

Implements MCP server using FastMCP from the Python SDK.
Exposes MCP Tools and Resources for LLM interaction.
Command-line interface with customizable options (stdio/SSE).
Built-in debug capabilities with debugpy and VS Code integration.
Development environment managed with uv.
Docker support for containerized deployment.

Use cases of Python MCP Server Starter Template

Quickly scaffold a new MCP server for AI assistants.
Prototype MCP Tools and Resources for LLM-powered applications.
Provide a starting point for production-grade MCP integrations.
Establish a consistent development workflow with debugging and testing.

Frequently asked questions

What are the prerequisites to use this template?

Python 3.10 or higher and `uv` (for environment/package management) are required. The MCP Inspector is recommended for testing, and Git and Docker are optional.

How do I run the server in SSE mode versus stdio mode?

In stdio mode, run `uv run your-script-name` (or use the `mcp dev` CLI). For SSE mode, add the `--sse` flag, optionally setting custom host and port with `--host` and `--port`.

How can I debug the MCP server?

Use the `uv run mcp-debug` command, then attach the VS Code debugger with the "Attach to MCP worker" configuration. The template includes debugpy integration. Never enable debug mode in production.

How do I add new tools or resources?

Add tools using the `@mcp.tool()` decorator and resources using the `@mcp.resource()` decorator inside your renamed package’s `server.py` file. The template provides example implementations.

How do I deploy the server with Docker?

Update the `Dockerfile` and `docker-compose.yml` with your renamed project/package, then run `docker-compose up -d` or build and run directly with `docker build` and `docker run`.

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