MCP Server Template (Python)

Name: MCP Server Template (Python)
Author: Nisarg38

@Nisarg38

Repository

About MCP Server Template (Python)

No overview available yet

#mcp-server-template #python #ai-tools

Basic information

Config

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

{
  "mcpServers": {
    "mcp-server-template-nisarg38": {
      "command": "python",
      "args": [
        "-m",
        "src.main"
      ]
    }
  }
}

Tools

No tools detected

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

Overview

What is MCP Server Template (Python)?

A ready‑to‑use template for building Model Context Protocol (MCP) servers in Python. It helps developers quickly create servers that register and expose tools and prompts for AI models to use.

How to use MCP Server Template (Python)?

Install with pip install -e ".[dev]" inside a cloned copy of the repository, then start the server with python -m src.main or the mcp-server-template CLI. Command‑line options let you change the port (--port), enable debug mode (--debug), switch transport (--transport stdio), or set the logging level (--log-level).

Key features of MCP Server Template (Python)

Ready‑to‑use template for building MCP servers in Python.
Create tools and prompts with simple Python decorators.
Command‑line interface with port, debug, and transport options.
HTTP (default port 8080) and stdio transport support.
Docker‑ready with a provided Dockerfile.
Includes development tools (tests, linting, formatting).

Use cases of MCP Server Template (Python)

Prototyping a custom MCP server that exposes domain‑specific tools.
Developing and testing tools and prompts for AI model integration.
Containerising an MCP server for deployment on cloud platforms (AWS, GCP, Azure).
Using as a starting point for hackathons or internal microservices.

FAQ from MCP Server Template (Python)

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows AI models to access external tools and prompts. The template provides an easy way to build an MCP‑compliant server.

What Python version is required?

Python 3.10 or newer.

How do I add a new tool?

Define a function in src/main.py and decorate it with @mcp.tool(). The function’s docstring serves as the description shown to the AI.

How can I deploy the server?

Build a Docker image with docker build -t my-mcp-server . and run it, or deploy the container to any cloud platform that supports containerised apps.