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kayamcp

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kayamcp 🎨🤖

LibreSprite Visual MCP Server — Real-time screen capture, visual UI interaction, and self-healing pixel art automation for LibreSprite.

An AI agent that can see your screen, detect LibreSprite's UI, draw alongside you in real-time, and self-correct any pixel errors automatically.

Python 3.10+ License: MIT Tests: 71 passed

✨ Features

Feature

Module

Description

🖥️ Ultra-Fast Screen Streaming

capture.py

10-60 FPS screen capture via MSS with pre-allocated buffers and zero-copy reads

🎯 Dynamic Calibration

calibration.py

Auto-detects LibreSprite window and canvas boundaries using Win32 + OpenCV contour analysis

🔧 Visual UI Interaction

ui.py

Selects tools (pencil, eraser, fill…), colours from the palette, and manages layers

✏️ Cooperative Drawing

draw.py

Moves cursor, executes stabilised strokes, and draws alongside the user in real-time

🔄 Self-Healing Loop

feedback.py

Verifies drawn pixels post-stroke and auto-corrects mismatches with retry logic

🌐 MCP Server

mcp_server.py

JSON-RPC 2.0 server (stdio/HTTP) implementing the Model Context Protocol

Related MCP server: pixel-mcp

🚀 Quick Start

Prerequisites

  • Windows 10/11 (uses Win32 API for desktop switching and window detection)

  • Python 3.10+

  • LibreSprite installed and running

Installation

# Clone the repository
git clone https://github.com/YOUR_USERNAME/kayamcp.git
cd kayamcp

# Install with pip
pip install -e .

# Or with uv (recommended)
uv pip install -e .

Run the MCP Server

# stdio mode (for MCP clients like Claude Desktop, Cursor, etc.)
python -m kayamcp

# HTTP mode (for development/testing)
python -m kayamcp --http --port 7799

🔌 MCP Client Configuration

Claude Desktop / Cursor

Add this to your MCP client configuration:

{
  "mcpServers": {
    "kayamcp": {
      "command": "python",
      "args": ["-m", "kayamcp"],
      "cwd": "C:/path/to/kayamcp"
    }
  }
}

Available MCP Tools

Tool

Description

kayamcp_capture_frame

Capture current screen frame and return dimensions

kayamcp_calibrate

Re-calibrate LibreSprite window and canvas boundaries

kayamcp_get_canvas_rect

Get current canvas rectangle {left, top, width, height}

kayamcp_select_tool

Select a drawing tool (pencil, eraser, fill, eyedropper, etc.)

kayamcp_select_color

Select an RGB colour for drawing

kayamcp_select_layer

Select an existing layer by name

kayamcp_add_layer

Add a new layer

kayamcp_draw_stroke

Draw a stroke through canvas coordinate points

kayamcp_stabilize_stroke

Smooth points for jitter-free drawing

kayamcp_verify_pixels

Verify canvas pixels match expected colours

kayamcp_heal_canvas

Self-heal: verify + redraw mismatched pixels with retries

🏗️ Architecture

kayamcp/
├── __init__.py          # Package exports
├── __main__.py          # python -m kayamcp entry point
├── desktop.py           # Win32 desktop switching (Default desktop context)
├── capture.py           # High-FPS screen streaming (MSS, threaded)
├── calibration.py       # LibreSprite window & canvas detection (Win32 + OpenCV)
├── ui.py                # Visual UI interaction (tools, palette, layers)
├── draw.py              # Cooperative drawing & cursor control
├── feedback.py          # Closed-loop pixel verification & self-healing
└── mcp_server.py        # JSON-RPC 2.0 MCP server (stdio + HTTP)

Data Flow

┌─────────────┐    ┌──────────────┐    ┌──────────────┐
│ MCP Client  │◄──►│  mcp_server  │◄──►│   capture    │
│ (AI Agent)  │    │  (JSON-RPC)  │    │ (Screen FPS) │
└─────────────┘    └──────┬───────┘    └──────┬───────┘
                          │                    │
                   ┌──────▼───────┐    ┌──────▼───────┐
                   │  calibration │◄──►│   desktop    │
                   │ (Win32+CV2)  │    │ (Win32 API)  │
                   └──────┬───────┘    └──────────────┘
                          │
              ┌───────────┼───────────┐
              │           │           │
       ┌──────▼───┐ ┌─────▼────┐ ┌───▼──────┐
       │   ui     │ │  draw    │ │ feedback  │
       │ (tools,  │ │ (cursor, │ │ (verify,  │
       │  colors) │ │ strokes) │ │  heal)    │
       └──────────┘ └──────────┘ └──────────┘

🧪 Testing

The project includes a comprehensive test suite with 71 tests across 4 tiers:

# Run all tests
uv run pytest -v

# Run only the adversarial stress tests
uv run pytest tests/test_adversarial_streamer.py -v

# Run only E2E integration tests
uv run pytest tests/test_e2e.py -v

Test Tiers

Tier

Focus

Tests

Tier 1

Feature coverage (streaming, calibration, UI, drawing, healing)

25

Tier 2

Boundary & corner cases (FPS limits, invalid inputs, occlusion)

25

Tier 3

Cross-feature combinations (calibrate+draw, select+draw+heal)

5

Tier 4

Real-world scenarios (interactive painting, colour-by-number, zoom/pan)

5

Tier 5

Adversarial stress (handle leaks, memory leaks, CPU efficiency, thread cleanup)

4

71 total

📦 Packaging & Distribution

Build a distributable package

# Build wheel and sdist
pip install build
python -m build

# The built files will be in dist/
#   dist/kayamcp-0.1.0-py3-none-any.whl
#   dist/kayamcp-0.1.0.tar.gz

Publish to PyPI

pip install twine
twine upload dist/*

🔧 Dependencies

Package

Version

Purpose

mss

≥9.0.0

High-performance screen capture

opencv-python

≥4.8.0

Canvas detection via contour analysis

pywin32

≥306

Win32 API (desktop switching, window enumeration)

pydirectinput

≥0.1.7

Direct mouse/keyboard input

numpy

≥1.24.0

Frame buffer operations

pillow

≥9.5.0

Image format support

🤝 Contributing

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Run the test suite (uv run pytest -v)

  4. Commit your changes (git commit -m 'Add amazing feature')

  5. Push to the branch (git push origin feature/amazing-feature)

  6. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgements

This server cannot be installed

A
license - permissive license
-
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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