Python MCP Server Template

@djaboxx

Basic information

About Python MCP Server Template

Template for creating Model Context Protocol (MCP) servers

Python MCP Server Template config

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

{
  "mcpServers": {
    "template-mcp-server-djaboxx": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Python 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 Python MCP Server Template?

The Python MCP Server Template is a foundation for building Model Context Protocol (MCP) servers that integrate with VS Code’s AI features. It provides best practices for async Python, configuration validation, logging, and error handling, following patterns from production MCP servers.

How to use Python MCP Server Template?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, update the server name and description in src/server.py, and add your own service configuration and client. Configure VS Code by adding an MCP server entry in settings.json using the stdio transport and the specified environment variables.

Key features of Python MCP Server Template

Pydantic models for configuration validation
Async context manager for server lifecycle management
Decorator-based tool registration with type hints
Structured error handling with logging and user feedback
Environment variable configuration for secrets and options
Production-proven architectural patterns for service clients

Use cases of Python MCP Server Template

Create a custom MCP server to extend VS Code’s AI capabilities
Build a service-specific tool that interacts with an external API
Develop a prototype MCP server following best practices
Teach or learn MCP server implementation patterns

Frequently asked questions

What are the dependencies and runtime requirements?

The server requires Python 3 and the packages listed in `requirements.txt`. It uses the FastMCP library and runs via stdio.

How is authentication handled?

The template expects an API key stored in the environment variable `SERVICE_API_KEY`. The key is passed in the VS Code MCP configuration as a promptString input.

What transport does the server use?

The server communicates with VS Code using the stdio transport, as configured in the VS Code `settings.json` MCP entry.

Are there any known limitations?

The README does not mention specific limitations; the template is a starting point for custom servers and does not include built-in tools.

Where does the server’s configuration come from?

Configuration is loaded from environment variables (e.g., `SERVICE_API_KEY`, `SERVICE_ENDPOINT`, `SERVICE_TIMEOUT`, `LOG_LEVEL`) and validated with Pydantic models at startup.

Comments

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