MCP_Project

MCP_Project

3.2
ai_chatbot

If you are the rightful owner of MCP_Project and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project demonstrates how to implement an MCP server in Python to enhance the context window of AI agents like GitHub Copilot Labs.

The MCP Project is a fully functional backend server that exposes tools, serves resources, and provides prompts to enrich the context window of AI agents. It is designed to integrate seamlessly with GitHub Copilot Labs or any MCP-compatible client. The server allows dynamic API calls, structured memory access, and behavior conditioning through templates. The setup involves defining tools, prompts, and resources in a Python script, running the server, and connecting it to a client like VSCode with Copilot Labs. This setup enhances the AI's ability to interact with and utilize external data and APIs, providing a more robust and contextually aware experience.

Features

  • Exposes dynamic API functions as tools for AI agents.
  • Serves structured memory resources like user profiles and documents.
  • Provides prompt templates to condition agent behavior.
  • Integrates with GitHub Copilot Labs and other MCP-compatible clients.
  • Facilitates enhanced AI context window management.

Tools

  1. sentiment_analysis_api

    Tools for text sentiment analysis

  2. access_job_board_api

    Tools for getting the latest job information

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