MSPaint MCP Server
by shettysaish20
This project demonstrates how to use Advanced AI Prompting to make LLMs robust to handle complex math problems of multiple steps. It uses the Model Context Protocol (MCP) to allow an AI agent, powered by Google's Gemini model, to interact with a legacy Windows application (MSPaint).
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What is MSPaint MCP Server?
The MSPaint MCP Server is a project that uses Google's Gemini model to solve complex math problems and draw the solution on the Paint canvas. It leverages the Model Context Protocol (MCP) to allow an AI agent to interact with MSPaint using tools defined with fastmcp and implemented with pywinauto.
How to use MSPaint MCP Server?
To use the server, first set up the environment by installing the required dependencies and configuring the Gemini API key. Then, run the MCP client (mcp_client.py) which will connect to the MCP server and start the automation process.
Key features of MSPaint MCP Server
AI-powered problem solving
Interaction with legacy applications
Step-by-step reasoning
Automated drawing in MSPaint
Verification of calculations and consistency
Use of Model Context Protocol (MCP)
Use cases of MSPaint MCP Server
Automating tasks in legacy applications
Demonstrating AI's ability to solve complex problems
Integrating AI with existing software
Creating AI agents that can interact with graphical interfaces
Testing and evaluating LLM prompting strategies
FAQ from MSPaint MCP Server
What is the purpose of the MCP server?
What is the purpose of the MCP server?
The MCP server defines the tools for interacting with MSPaint and performing mathematical operations.
How does the AI agent interact with MSPaint?
How does the AI agent interact with MSPaint?
The AI agent uses the pywinauto library to control the MSPaint application through tools like open_paint, draw_rectangle, and add_text_in_paint.
What is the role of the MCP client?
What is the role of the MCP client?
The MCP client connects to the MCP server, initializes the AI agent, and orchestrates the automation process by calling the appropriate tools.
What if I encounter permission issues?
What if I encounter permission issues?
Try running the scripts as an administrator.
What if the AI agent is not selecting the correct tools?
What if the AI agent is not selecting the correct tools?
Review the system prompt and ensure that the tool descriptions are accurate.