2nithin2/Custom-MCP-Server-for-AI-Agents
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MCPioneer is a beginner-friendly project for creating a custom MCP server using Python, enhancing AI agents' capabilities.
MCPioneer 🚀
Build Your Own Custom MCP Server for AI Agents
MCPioneer is a beginner-friendly project demonstrating how to create a custom MCP (Message/Command/Processing) server using Python. This server acts as a bridge to extend the capabilities of AI agents, allowing them to perform external tasks like calling APIs, accessing databases, and executing custom tools.
📚 What is MCP?
An MCP server provides tools, resources, and services that AI agents can access to enhance their functionalities. Think of it as a "toolbox" that an AI can open whenever it needs external help beyond its basic capabilities.
⚙️ Technologies Used
- Python 3.10+
- MXGp Python SDK
- UV Package Manager
- Claude Desktop (for testing)
🚀 Getting Started
1. Install UV (Better Package Manager)
- Windows:
iwr -useb https://mirror.ghproxy.com/https://raw.githubusercontent.com/astral-sh/uv/main/scripts/install.ps1 | iex - Mac/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Initialize Project
uv init .
uv add mcp cli
3. Create a Simple MCP Server
Example main.py:
from mcp_servers.fast_mcp import FastMCP
server = FastMCP(name="DemoServer")
@server.tool
def add_numbers(a: int, b: int) -> int:
return a + b
@server.resource
def greet(name: str) -> str:
return f"Hello, {name}!"
server.run()
4. Install MCP Server into Claude Desktop
uv run mcp install main.py
5. Configure Claude Desktop
- Go to Settings → Developer → Edit Config.
- Add your server to the configurations manually if necessary.
- Restart Claude Desktop if you don't see the MCP server immediately.
🛠️ Project Structure
MCPioneer/
├── main.py
├── README.md
├── .venv/ (created automatically)
└── uv.toml
✨ Author
Created with ❤️ by Nithin.
