MCP Design Comparison Server
Click on "Install 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., "@MCP Design Comparison ServerCompare the design mockup and the implementation screenshot for the login page."
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.
MCP Design Comparison Server
An MCP (Model Context Protocol) server that allows LLMs to compare design screenshots with implementation screenshots using pixelmatch. Supports multiple image formats including PNG, JPEG, WebP, GIF, TIFF, and SVG (rasterized via librsvg). This tool helps identify visual discrepancies between design mockups and actual implementation.
Features
Multi-Format Support: Works with PNG, JPEG, WebP, GIF, TIFF, and SVG images
Screenshot Comparison: Compare two images pixel-by-pixel
SSIM Score: Structural-similarity metric (0–1) that tracks perceived difference, not just raw pixel deltas
Auto-Resize: Mismatched resolutions are reconciled automatically — the implementation is scaled to the design's dimensions.
resize_fitcontrols how (containpreserves aspect ratio by default;fill/coveravailable); toggle off withauto_resizeIgnore Regions: Exclude rectangles (e.g. timestamps, avatars) from the comparison so dynamic content doesn't count
Vector (SVG) Input: Compare a design PNG against an SVG icon (or SVG vs SVG) — SVGs are rasterized at a configurable density (
svg_density, default 288 dpi) with no pre-render stepDiff Localization: A diff bounding box and a 3x3 heat grid report where differences cluster, not just how many pixels differ
Assertion Gate: Optional
max_difference_percentageflips the result to an error when exceeded — a CI regression gate without parsing textVisual Diff Output: Generate a highlighted diff image showing differences
Detailed Metrics: Get total pixels, different pixels, and percentage difference
Configurable Threshold: Adjust sensitivity of the comparison
Base64 Support: Return diff images as base64 or save to file
Related MCP server: MCP Component Review
Installation
For End Users
Install globally via npm:
npm install -g mcp-design-comparisonOr using npx (no installation required):
npx mcp-design-comparisonFor Development
git clone https://github.com/w01fgang/mcp-design-comparison.git
cd mcp-design-comparison
npm install
npm run buildUsage
As an MCP Server
Add this server to your MCP client configuration. The server runs on stdio and provides a single tool:
Tool: compare_design
Compare a design screenshot with an implementation screenshot.
Parameters:
design_path(string, required): Path to the design screenshot (supports PNG, JPEG, WebP, GIF, TIFF, SVG)implementation_path(string, required): Path to the implementation screenshot (supports PNG, JPEG, WebP, GIF, TIFF, SVG)output_diff_path(string, optional): Path to save the diff image (always saved as PNG). If not provided, the diff image will be returned as base64threshold(number, optional): Matching threshold (0-1). Smaller values make the comparison more sensitive. Default is 0.1auto_resize(boolean, optional): When the two screenshots differ in resolution, scale the implementation to the design's dimensions instead of erroring. Default istrue. Setfalseto require identical dimensions.resize_fit(string, optional): How to scale the implementation when dimensions differ —contain(default, preserves aspect ratio and letterboxes),fill(stretches to exact dimensions), orcover(preserves aspect ratio and crops overflow).ignore_regions(array, optional): Rectangles{ x, y, width, height }in design-space coordinates to exclude from the comparison (e.g. dynamic content). Excluded pixels count toward neither the diff nor the percentage denominator. For an SVG design, design space is the rendered raster (intrinsic size ×svg_density/ 72 — e.g. a 36×36 SVG at the default density 288 is 144×144), not the intrinsic SVG size; the same applies to the returned diff bounds and heat grid.svg_density(number, optional): Rasterization density (DPI) for SVG inputs. Higher = crisper vector render before comparison. Default 288 (4x the 72dpi baseline). Aimed at small assets (icons/logos); lower it for large vector art.localize(boolean, optional): Iftrue(default), include a diff bounding box and a coarse 3x3 heat grid in the result, showing where differences cluster. Setfalseto skip the extra pass.max_difference_percentage(number, optional): If set and the difference percentage exceeds it (strictly greater), the call returns an error (isError: true) while still producing the diff artifact. Use as a CI gate against a golden image. Omit for report-only.
Returns:
Total number of pixels (excluding any ignored regions)
Number of different pixels
Percentage difference
SSIM score (0–1, where 1.0 means identical)
Diff bounding box and 3x3 heat grid (when
localizeis on and differences exist)Diff image (as file or base64)
Configuration Example
Add to your MCP settings file:
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"design-comparison": {
"command": "npx",
"args": ["-y", "mcp-design-comparison"]
}
}
}Cursor (~/Library/Application Support/Cursor/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json on macOS):
{
"mcpServers": {
"design-comparison": {
"command": "npx",
"args": ["-y", "mcp-design-comparison"]
}
}
}After adding the configuration, restart Claude Desktop or Cursor.
How It Works
Loads both images into memory (any supported format → raw RGBA)
If dimensions differ, scales the implementation to the design's dimensions using
resize_fit(defaultcontain, aspect-preserving; unlessauto_resizeisfalse, which errors instead)Masks out any
ignore_regionsin both images so excluded pixels don't countUses pixelmatch to compare pixel-by-pixel, computes an SSIM score, and (when
localizeis on) locates where differences cluster (bounding box + 3x3 heat grid)Generates a diff image highlighting differences in pink
Returns statistics, the SSIM score, and the diff image
Example Use Cases
Design QA: Verify that implementation matches design mockups
Regression Testing: Compare screenshots before and after changes
Cross-browser Testing: Compare renders across different browsers
Responsive Design: Compare layouts at different breakpoints
Testing
Run Automated Tests
npm testManual Testing with Your Screenshots
Use the included test script:
node test-manual.mjs design.png implementation.png [output-diff.png]Requirements
Node.js 18+
Images in a supported format (PNG, JPEG, WebP, GIF, TIFF, or SVG); differing resolutions are auto-resized unless
auto_resizeis disabled
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Related MCP Servers
- Alicense-qualityDmaintenanceAnalyzes app screenshots to identify UI/UX issues, compare designs with implementations, and provide actionable fixes using GPT-4o/GPT-5.2 vision capabilities. Supports single/batch analysis, design comparison, and automated report generation for iOS, Android, web, and desktop platforms.Last updatedMIT
- Alicense-qualityDmaintenanceAnalyzes React component changes by performing structural analysis and generating visual diffs to identify pixel-level differences. It integrates with Figma to validate implementation compliance against design specifications and automates component reviews across git branches.Last updatedMIT
- AlicenseAqualityDmaintenanceEnables pixel-perfect image comparison and visual regression testing via tools to compare local images, screenshots, and URLs with detailed diff statistics.Last updated31073MIT
- Alicense-qualityDmaintenanceEnables visual review of UI edits by comparing before and after screenshots, returning whether the edit satisfies the request.Last updated23MIT
Related MCP Connectors
Capture screenshots, detect visual regressions between page versions, and analyze with AI.
On-demand drift checks: declared CSS color, radius, spacing & type vs your own tokens or a pack
Score any URL against a real design contract — 40 checks, A-F grade, token + motion validation.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/w01fgang/mcp-design-comparison'
If you have feedback or need assistance with the MCP directory API, please join our Discord server