What prerequisites are required?
Windows 10 or later, Python 3.8+, Microsoft Paint (mspaint.exe), and a Google Cloud API key for Gemini AI.
Paint Drawing Agent MCP Server
@shivman
Basic information
About Paint Drawing Agent MCP Server
This project demonstrates an Agentic AI system that uses a Gemini-powered MCP server to interpret natural language instructions and automate Microsoft Paint using GUI simulation tools on Windows.
Paint Drawing Agent MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"paint-ai-agent": {
"command": "python",
"args": [
"talk2mcp.py"
]
}
}
}Paint Drawing Agent MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Paint Drawing Agent?
A Python-based automation tool that uses Google's Gemini AI to control Microsoft Paint through natural language commands, enabling users to draw shapes, write text, and manipulate colors in MS Paint using simple English instructions.
How to use Paint Drawing Agent?
Clone the repository, install dependencies with pip install -r requirements.txt, create a .env file with your Google API key, then run python talk2mcp.py and enter natural language commands like "Draw a red circle in the center". Type 'quit' to exit.
Key features of Paint Drawing Agent
- Natural language control of Microsoft Paint
- Automated drawing of circles, rectangles, and lines
- Text insertion with position control
- Color selection and management
- Window management and canvas positioning
- Detailed logging and error handling
- Position calibration system for accuracy
Use cases of Paint Drawing Agent
- Automating repetitive drawing tasks in MS Paint
- Creating diagrams or annotations without manual mouse interaction
- Generating custom shapes and text for quick visual mockups
Frequently asked questions
How does calibration work?
The system uses a calibration system to accurately locate Paint interface elements. Run `python enhanced_calibrate.py` and follow on-screen instructions to recalibrate tool positions.
Where are logs stored?
Application logs are in `/logs/paint_agent_[timestamp].log`, LLM interaction logs in `/LLM_LOGS/session_log.json`, and calibration data in `/calibration_profiles/`.
What should I do if Paint is not found?
Ensure MS Paint is installed and try running Paint manually first. If drawing positions are off, run calibration again and check that screen resolution matches the calibration profile.
How can I handle AI communication errors?
Verify that your API key is correctly set in the `.env` file and check your internet connection.
More AI & Agents MCP servers
Hostinger
hostingerModel Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app
148
Quest: Hire a Human
Quest (hireahuman.quest)Hire a verified local human for small real-world tasks your AI agent can't do: errands, queues, pickups, in-person checks and on-site photos. Your agent posts a quest, local humans send offers, and your user picks one an
F
fhirHydrant
faulkjOpen-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.
14
Plainpaper
PlainpaperThe AI marketing canvas for Claude and MCP agents. Your agent drafts campaigns as cards on a shared board, briefed by your brand rules, approved by you.
bsv.cx
Andy RoweTimestamp and verify evidence on-chain. Let your agent prove what it saw and when. bsv.cx gives an AI agent verifiable memory. Timestamp a hash of any output, archive a web page as it looked, or fetch a URL with a recei
Comments