Where's Waldo Rick
An MCP server that provides agentic vision capabilities for visual regression testing by capturing and comparing screenshots using Gemini Flash. It enables users to detect UI changes and conduct conversational investigations to distinguish between intended and unintended visual modifications.
README
Where's Waldo Rick - Visual Regression MCP Server
A Model Context Protocol (MCP) server that brings agentic vision capabilities to Claude Code for visual regression testing using Gemini 3 Flash.
Overview
Never again have ambiguous conversations about visual changes. See exactly what changed, circled and annotated, with intended vs unintended change detection.
Problem Solved
- Developer works for hours on UI changes
- Build passes, code is "clean"
- You open the app... same exact layout
- You ask: "What specifically changed?"
- Dev says: "We added 2 pixels to the card"
- You ask: "Where? Top? Bottom? Inside the box? Around it?"
- 😤 Wasted time, unclear communication
Solution
Where's Waldo Rick provides:
- Screenshot capture from multiple platforms (macOS, iOS Simulator, Web)
- Pixel-perfect comparison with configurable thresholds
- Agentic vision analysis using Gemini 3 Flash (iterative zoom/crop/annotate)
- Expected vs unintended change detection
- Conversational investigation ("Not that box, the child item")
Installation
Requirements
- Python 3.10+
- Gemini API key (free tier: 15 requests/minute)
Install from GitHub
# Install via uvx
uvx --from git+https://github.com/bretbouchard/gemini-vision-mcp wheres_waldo.server
# Or install locally
pip install -e .
Configure Claude Code
Add to your Claude Code MCP configuration (~/.claude/mcp.json or project-specific):
{
"mcpServers": {
"wheres-waldo-rick": {
"command": "uvx",
"args": ["--from", "git+https://github.com/bretbouchard/gemini-vision-mcp", "wheres_waldo.server"],
"env": {
"GEMINI_API_KEY": "your-api-key-here"
}
}
}
}
Usage
Basic Workflow
# 1. Declare expected changes before work
/visual:prepare "Card padding increases by 2px, button moves to right"
# 2. Capture baseline screenshot
/visual:capture "Phase 3 - Before card update"
# 3. Development happens...
# 4. Capture current state
/visual:capture "Phase 4 - After card update"
# 5. Compare and see all changes
/visual:compare screenshots/phases/3-before.png screenshots/phases/4-after.png
MCP Tools
visual_capture
Capture a screenshot and store it for visual regression testing.
await visual_capture(
name="Phase 3 - Before card update",
platform="macos" # auto, macos, ios, web
)
visual_prepare
Declare a baseline with expected changes before development.
await visual_prepare(
phase="Phase 3 - Card Layout Update",
expected_changes="Card padding increases by 2px, button moves to right"
)
visual_compare
Compare two screenshots with pixel-level precision and agentic vision.
await visual_compare(
before_path="screenshots/phases/3-before.png",
after_path="screenshots/phases/4-after.png",
threshold=2 # 1px, 2px, or 3px
)
visual_cleanup
Clean up old screenshots and cache.
await visual_cleanup(retention_days=7)
Development
Setup
# Clone repository
git clone https://github.com/bretbouchard/gemini-vision-mcp
cd gemini-vision-mcp
# Install in development mode
pip install -e ".[dev]"
# Run tests
pytest
# Format code
black src/
ruff check src/
Project Structure
src/wheres_waldo/
├── __init__.py
├── server.py # MCP server with tool definitions
├── models/ # Pydantic domain models
├── services/ # Business logic (capture, compare, storage)
├── tools/ # MCP tool implementations
└── utils/ # Logging, hashing, path helpers
Roadmap
- [x] Phase 1: Foundation (MCP server skeleton, types, storage)
- [ ] Phase 2: Capture & Baselines (multi-platform screenshots)
- [ ] Phase 3: Comparison Engine (OpenCV + Gemini integration) 🔥 HIGH RISK
- [ ] Phase 4: Operations (caching, progressive resolution, reporting)
- [ ] Phase 5: Polish (conversational investigation)
See ROADMAP.md for complete execution plan.
Contributing
Contributions welcome! Please read REQUIREMENTS.md and ROADMAP.md before contributing.
License
MIT License - See LICENSE file for details
Acknowledgments
Built with:
Generated with Claude Code via Happy
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