MCP Component Review
Analyzes 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.
README
MCP Component Review
An MCP (Model Context Protocol) server for reviewing React component changes. Analyzes structural differences, generates visual diffs, and validates implementations against Figma designs.
Features
- Structural Analysis: Parse React components (TSX/JSX) and extract props, children, and styles
- Style Detection: Support for Tailwind CSS, styled-components, and CSS Modules
- Visual Diff: Screenshot components and generate pixel-level diff images
- Figma Integration: Extract design specs and validate implementation compliance
- Branch Review: Analyze all changed components in a git branch
Installation
git clone https://github.com/yourusername/mcp-component-review.git
cd mcp-component-review
npm install
npm run build
Usage
With Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"component-review": {
"command": "node",
"args": ["/path/to/mcp-component-review/dist/index.js"]
}
}
}
With Claude Code
claude mcp add component-review node /path/to/mcp-component-review/dist/index.js
Available Tools
analyze_component
Analyze a single React component file.
analyze_component({
file: "/path/to/Button.tsx"
})
Output:
- Component name and props
- Component tree structure
- Extracted styles (colors, spacing, typography)
compare_components
Compare two component files and get a structured diff.
compare_components({
oldFile: "/path/to/Button.old.tsx",
newFile: "/path/to/Button.new.tsx"
})
Output:
- Text content changes
- Child component additions/removals
- Prop changes
- Style changes (colors, spacing, typography)
visual_diff_components
Generate visual diff screenshots.
visual_diff_components({
oldFile: "/path/to/Button.old.tsx",
newFile: "/path/to/Button.new.tsx",
outputDir: "/path/to/output"
})
Output:
- Screenshots of old and new components
- Diff image highlighting changes
- Combined side-by-side view
get_figma_specs
Extract design specifications from Figma.
get_figma_specs({
figmaUrl: "https://www.figma.com/file/ABC123/Design?node-id=1:2",
figmaToken: "figd_xxxxx"
})
Output:
- Dimensions (width, height)
- Spacing (padding, margin, gap)
- Colors (background, text, border)
- Typography (font-size, font-weight, line-height)
- Border (radius, width)
validate_design_implementation
Compare Figma specs with implementation.
validate_design_implementation({
figmaUrl: "https://www.figma.com/file/ABC123/Design?node-id=1:2",
figmaToken: "figd_xxxxx",
componentFile: "/path/to/Button.tsx",
tolerance: 2
})
Output:
# Design Validation Report: Button
## Summary ⚠️
- **Score**: 75%
- **Matches**: 6/8
- **Mismatches**: 2
## Validation Details
| Property | Figma | Implementation | Status |
|---------------|-----------|----------------------|------------|
| padding-top | 8px | 8px (p-2) | ✅ match |
| background | #22C55E | #16A34A (bg-green-600)| ❌ mismatch|
| font-size | 16px | 18px (text-lg) | ❌ mismatch|
review_branch
Review all changed components in a git branch.
review_branch({
repoPath: "/path/to/repo",
baseBranch: "main",
targetBranch: "feature/new-button",
figmaToken: "figd_xxxxx",
figmaFileKey: "ABC123",
figmaMapping: {
"src/components/Button.tsx": "1:234",
"src/components/Card.tsx": "1:567"
},
outputDir: "/path/to/visual-diffs"
})
Output:
- Summary of all changed components
- Structural analysis for each component
- Visual diffs for modified components
- Figma validation scores
validate_and_fix
Validate a component and get auto-fix instructions. If the component doesn't match Figma, returns exact Tailwind/CSS changes needed.
validate_and_fix({
figmaUrl: "https://www.figma.com/file/ABC123/Design?node-id=1:2",
figmaToken: "figd_xxxxx",
componentFile: "/path/to/Button.tsx"
})
Output (when fixes needed):
🔧 **AUTO-FIX REQUIRED** for `src/Button.tsx`
Current design compliance: **62%**
## Required Changes
### 🔴 Missing (High Priority)
- **gap**: Add `gap-2`
- Expected: `8px`
### 🟡 Mismatches (Medium Priority)
- **background**: Change to `bg-green-500`
- Current: `bg-green-600`
- Expected: `#22C55E`
- **font-size**: Change to `text-base`
- Current: `text-lg`
- Expected: `16px`
## Instructions
1. Open `src/Button.tsx`
2. Find the className or styled-components styles
3. Apply the following Tailwind class changes:
Add/Replace: gap-2 bg-green-500 text-base
4. Save the file
5. Run validation again to confirm compliance
This output is designed to be directly actionable by an AI agent to automatically fix the issues.
Getting a Figma Token
- Go to Figma → Settings → Account
- Scroll to "Personal access tokens"
- Click "Create new token"
- Copy the token (starts with
figd_)
Example Workflow
Design Review Automation
// 1. Get the Figma specs for a component
const specs = await get_figma_specs({
figmaUrl: "https://www.figma.com/file/ABC/Design?node-id=1:2",
figmaToken: process.env.FIGMA_TOKEN
});
// 2. Validate the implementation
const validation = await validate_design_implementation({
figmaUrl: "https://www.figma.com/file/ABC/Design?node-id=1:2",
figmaToken: process.env.FIGMA_TOKEN,
componentFile: "src/components/Button.tsx"
});
// 3. If there are visual changes, generate a diff
const visualDiff = await visual_diff_components({
oldFile: "src/components/Button.old.tsx",
newFile: "src/components/Button.tsx",
outputDir: "./review-output"
});
PR Review Automation
// Review all components changed in a PR
const review = await review_branch({
repoPath: ".",
baseBranch: "main",
targetBranch: "HEAD",
figmaToken: process.env.FIGMA_TOKEN,
figmaFileKey: "ABC123",
figmaMapping: {
"src/components/Button.tsx": "1:234"
}
});
Development
# Install dependencies
npm install
# Build
npm run build
# Run in development mode
npm run dev
License
MIT
Contributing
Contributions are welcome! Please read the contributing guidelines before submitting a PR.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.