MCP Server Demo with GMAIL integration

This project demonstrates the use of the Model Context Protocol (MCP) to create a math agent capable of solving problems iteratively using various tools. The project includes tools for mathematical operations, drawing, and email sending, among others.

Project Structure

• example2.py: Defines the MCP server and tools for mathematical operations, drawing, and email sending.
• talk2mcp-2.py: Implements the client-side logic for interacting with the MCP server, including tool usage and iterative problem-solving.
• pyproject.toml: Configuration file for the project.
• uv.lock: Lock file for dependencies.

Key Features

1. Mathematical Tools:

   • Addition, subtraction, multiplication, division, power, square root, cube root, factorial, logarithm, and trigonometric functions.
   • Special tools like strings_to_chars_to_int and int_list_to_exponential_sum.

2. Drawing Tools:

   • Draw rectangles and add text in Microsoft Paint.
   • Open and interact with Sketch.io for drawing and text addition.

3. Email Sending:

   • Send emails using the Gmail API with OAuth2 authentication.

4. Iterative Problem Solving:

   • The client iteratively solves problems by interacting with the MCP server and tools.

Setup Instructions

1. Clone the repository.
2. Install required dependencies
3. Create a .env file and add your Gemini API key:

   GEMINI_API_KEY=your_api_key_here
   

4. For Gmail API, set up credentials and save them as credentials.json in the project root.
5. Run the MCP server:

   python example2.py
   

6. Run the client:

   python talk2mcp-2.py
   

Usage

• The client interacts with the server to solve mathematical problems, draw shapes, and send emails.
• Modify the query in talk2mcp-2.py to test different scenarios.

Dependencies

• Python 3.8+
• MCP library
• Google Generative AI library
• Gmail API client
• PyAutoGUI
• Pillow

License

This project is licensed under the MIT License.