MSPaint-MCP-Server-V2

3.2

If you are the rightful owner of MSPaint-MCP-Server-V2 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 use Advanced AI Prompting to make LLMs robust to handle complex math problems of multiple steps using the Model Context Protocol (MCP) to interact with MSPaint.

The MSPaint MCP Server with AI-based Planning Algorithms project leverages the Model Context Protocol (MCP) to enable an AI agent, powered by Google's Gemini model, to interact with the legacy Windows application MSPaint. The AI agent uses tools defined with `fastmcp` and implemented using `pywinauto` to solve complex math problems and draw the solutions on the Paint canvas. The project showcases advanced AI prompting techniques to ensure the LLM can handle multi-step math problems effectively. The server defines tools for Paint automation and mathematical operations, while the client manages interactions between the AI agent and the server, ensuring the correct sequence of operations and verifications.

Features

Advanced AI Prompting: Ensures LLM robustness in handling multi-step math problems.
MCP Integration: Uses Model Context Protocol to interact with MSPaint.
Tool Automation: Automates Paint operations using `pywinauto`.
Verification Mechanisms: Includes tools for verifying calculations and consistency.
Google Gemini Model: Utilizes Google's AI model for generating instructions and solving problems.

Tools

1
Mathematical Tools
2
Paint Tools

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