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MCP based Math Drawing Client

@movva09

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

movva09

About MCP based Math Drawing Client

Agentic MCP Client Server that solves a math task and draws output in rectangle in a drawing app.

#mathgpt#math-solver#math-assistant

MCP based Math Drawing Client config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Agent-MCP-Math-Draw": {
      "command": "python",
      "args": [
        "example2-3_server.py"
      ]
    }
  }
}

MCP based Math Drawing Client tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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)

Frequently asked questions

1

What dependencies are required?

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

2

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`.

3

What mathematical operations are supported?

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

4

What is the default canvas size?

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

5

Is there a limit on iterations?

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

Comments

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