Custom-MCP-Server

ThaminduDasanayake/Custom-MCP-Server

3.2

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The Model Context Protocol (MCP) server allows AI assistants to securely connect to external data sources and tools, providing a flexible and extensible architecture for custom integrations.

🛠 Custom MCP Server - Python

Build and run your own Model Context Protocol (MCP) server using Python. This tutorial shows you how to create custom tools and resources that can be used by AI assistants like Claude Desktop.

🤔 What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and tools. By building an MCP server, you can:

  • Expose custom functions and APIs to AI assistants
  • Provide access to local files, databases, or web services
  • Create reusable tools that work across different AI platforms
  • Build secure, sandboxed integrations

🚀 Features

  • Custom MCP server implementation in Python
  • Easy integration with Claude Desktop
  • Extensible architecture for adding new tools
  • Secure communication via stdio transport
  • Hot-reload during development

📦 Prerequisites

Make sure you have the following installed:

  • Python 3.8+
  • uv - Modern Python package manager
  • Claude Desktop - For testing your MCP server

⚙️ Quick Start

1. Initialize Project

# Initialize with uv
uv init .

2. Add MCP to your project dependencies

uv add "mcp[cli]"

3. Run MCP Server

uv run mcp install main.py

📚 Resources