MCP based Math Drawing Client

What is MCP based Math Drawing Client?

The MCP based Math Drawing Client is a Python MCP server that combines mathematical computations with visual drawing capabilities. It integrates with the Gemini AI model to process mathematical queries and generate responses that are automatically drawn on a canvas. It is intended for developers building MCP-based applications that require both calculation and visual output.

How to use MCP based Math Drawing Client?

Install the required packages (mcp, google-generativeai, python-dotenv), create a .env file with your Gemini API key, optionally edit config.json for canvas and port settings, and start the MCP server with python example2-3_server.py. Then run the client script talk2mcp_math_draw_client.py to send queries.

Key features of MCP based Math Drawing Client

• Integration with Gemini AI for mathematical problem-solving
• Drawing capabilities for visual representation of results
• Supports basic and advanced mathematical operations (arithmetic, exponential, logarithmic, prime, factorial, Fibonacci)
• Drawing tools: rectangles, text placement, canvas clearing, color selection
• Iterative problem-solving with a maximum of 9 iterations
• Error handling and 10-second timeout for LLM operations
• Session management and tool execution with parameter validation

Use cases of MCP based Math Drawing Client

• Visualizing calculated results (e.g., sums of ASCII values) inside a rectangle at a given position
• Performing multi-step operations such as exponential values of prime numbers and displaying the sum
• Drawing formatted text results after mathematical transformations (e.g., square root of a sum)

FAQ from MCP based Math Drawing Client

What dependencies are required?

Python 3.x and the packages mcp, google-generativeai, and python-dotenv.

How do I configure the Gemini API key?

Create a .env file in the project root and add GEMINI_API_KEY=your_api_key_here.

What mathematical operations are supported?

Basic arithmetic, exponential, logarithmic, ASCII value calculations, string manipulation, array operations, prime number calculations, factorial, and Fibonacci sequence generation.

What is the default canvas size?

The default canvas size is 1920×1080 pixels, configurable in config.json under canvas.width and canvas.height.

Is there a limit on iterations?

Yes, the system uses an iterative approach with a maximum of 9 iterations for complex problems.