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Custom MCP

by Wriath18

AI/Automation & WorkflowChatGPTGmailGitHubAutomationFastAPINext.js

This project integrates a Custom MCP (Mission Control Panel) with a ChatGPT AI Template to provide an intelligent agentic system that integrates with Gmail and GitHub. It allows for autonomous operation and intelligent decision making.

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Custom MCP (Mission Control Panel) with ChatGPT AI Template

This project integrates a Custom MCP (Mission Control Panel) with a ChatGPT AI Template to provide an intelligent agentic system that integrates with Gmail and GitHub.

Features

  • Gmail Integration: Reads and analyzes emails from your Gmail account
  • GitHub Integration: Interacts with GitHub repositories to check for issues, alerts, and other information
  • Intelligent Decision Making: Uses OpenAI models to decide which tools to use and how to process information
  • Autonomous Operation: Can autonomously navigate between different services to fulfill complex requests
  • Modern UI: Beautiful and responsive UI built with Next.js and Chakra UI

Example Use Cases

  • "Check if there are any GitHub warnings in my Gmail"
  • "Find dependency alerts for my repositories"
  • "Summarize recent GitHub notifications"

Technical Stack

  • Backend: FastAPI (Python)
  • AI: OpenAI API
  • External APIs: Gmail API, GitHub API
  • Frontend: Next.js, React, Chakra UI

Project Structure

Custom-MCP/
├── src/                  # MCP Server
│   ├── api/              # API endpoints
│   ├── services/         # Service integrations (Gmail, GitHub, OpenAI)
│   ├── models/           # Data models
│   ├── utils/            # Utility functions
│   ├── config/           # Configuration management
│   └── main.py           # Application entry point
├── chatgpt-ai-template/  # ChatGPT AI Template
│   ├── app/              # Next.js app directory
│   ├── src/              # Source code
│   ├── public/           # Static assets
│   └── package.json      # Dependencies
├── .env                  # Environment variables (not in repo)
├── .env.example          # Example environment variables
├── requirements.txt      # Python dependencies
├── start.sh              # Script to start both servers
└── README.md             # This file

Setup Instructions

1. MCP Server Setup

  1. Install Python dependencies:

    pip install -r requirements.txt

  2. Set up environment variables in a .env file (see .env.example)

  3. Run the MCP server:

    python run.py

  4. The MCP server will be available at http://localhost:8000

2. ChatGPT AI Template Setup

  1. Navigate to the ChatGPT AI Template directory:

    cd chatgpt-ai-template

  2. Install Node.js dependencies:

    npm install

  3. Run the development server:

    npm run dev

  4. The ChatGPT AI Template will be available at http://localhost:3000

3. Quick Start (Both Servers)

For convenience, you can use the provided script to start both servers at once:

./start.sh

This script will:

  1. Start the MCP server in the background
  2. Wait for it to initialize
  3. Start the ChatGPT AI Template frontend
  4. Automatically stop the MCP server when you exit the frontend

Configuration

You'll need to set up API credentials for:

  • Gmail API (OAuth2)
  • GitHub API (Personal Access Token)
  • OpenAI API

See the .env.example file for required environment variables.

Usage

  1. Start both the MCP server and the ChatGPT AI Template as described above.
  2. Open your browser and navigate to http://localhost:3000.
  3. Click on the "MCP Chat" option in the sidebar to access the MCP Chat interface.
  4. Enter your query in the input field and press Enter or click the Send button.
  5. The MCP server will process your query and return a response.

License

MIT