MCP_Project

MCP_Project

0
ai_chatbot

This project provides an implementation of an MCP server in Python to enhance AI systems like GitHub Copilot Labs. It facilitates the use of tools, resources, and prompts to improve context awareness in AI agents. The project is geared towards developers looking to integrate context protocol capabilities into AI-driven applications.

Overview

This project demonstrates how to implement an MCP (Model Context Protocol) server in Python to enhance the context window of an AI agent like GitHub Copilot Labs. It provides a fully functional backend that exposes tools, serves resources, and provides prompts, designed for integration with GitHub Copilot Labs or any MCP-compatible client.

Key Features

  • Exposes live API functions as tools.
  • Serves structured memory like user profiles as resources.
  • Provides templates to shape agent behavior as prompts.

Workflow

  1. Define tools, prompts, and resources in the server.
  2. Start the MCP server.
  3. Connect GitHub Copilot Labs with the server.
  4. Utilize tools, resources, and prompts within the chat agent.

Setup & Running

  1. Clone the repository and install dependencies.
  2. Activate the virtual environment and run the MCP server.