Where's Waldo Rick
Integrates with Gemini 3 Flash to provide agentic vision capabilities, enabling iterative screenshot analysis, change detection, and automated annotation for visual regression testing.
Provides tools for capturing and comparing screenshots from the iOS Simulator to facilitate visual regression testing on mobile layouts.
Enables visual regression testing by capturing and comparing screenshots directly from the macOS platform to detect and investigate UI changes.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Where's Waldo Rickcompare the current layout to the baseline and show me what changed"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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?"
š¤ 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")
Related MCP server: visual-ui-debug-agent-mcp
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.pngMCP 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/
āāā __init__.py
āāā server.py # MCP server with tool definitions
āāā models/ # Pydantic domain models
āāā services/ # Business logic (capture, compare, storage)
āāā tools/ # MCP tool implementations
āāā utils/ # Logging, hashing, path helpersRoadmap
Phase 1: Foundation (MCP server skeleton, types, storage)
Phase 2: Capture & Baselines (multi-platform screenshots)
Phase 3: Comparison Engine (OpenCV + Gemini integration) š„ 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
This server cannot be deployed
Maintenance
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