Custom-MCP-Server-for-AI-Agents

2nithin2/Custom-MCP-Server-for-AI-Agents

3.2

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MCPioneer is a beginner-friendly project for creating a custom MCP server using Python, enhancing AI agents' capabilities.

MCPioneer is designed to help users build a custom Message/Command/Processing (MCP) server using Python. This server acts as a bridge to extend the capabilities of AI agents, allowing them to perform external tasks such as calling APIs, accessing databases, and executing custom tools. The project is beginner-friendly and provides a step-by-step guide to setting up and running an MCP server. It utilizes technologies like Python 3.10+, MXGp Python SDK, and UV Package Manager, and is tested with Claude Desktop. The server can be customized with tools and resources that AI agents can access, making it a versatile solution for enhancing AI functionalities.

Features

  • Beginner-friendly setup and configuration
  • Extends AI agent capabilities with external task execution
  • Utilizes Python 3.10+ and MXGp Python SDK
  • Tested with Claude Desktop for seamless integration
  • Customizable with user-defined tools and resources

Tools

  1. FastMCP

    Python classes for quickly creating MCP servers

  2. @server.tool

    Decorator, used to define tool functions

  3. @server.resource

    Decorator, used to define resource functions