MCP Frontend Tools Server
Generates CSS modules for React components and provides responsive CSS patterns, including container queries and Tailwind patterns for styling.
Generates typed React components with tests, stories, and CSS modules, providing scaffolding capabilities for React component development.
Creates Storybook stories for generated React components, enabling component documentation and visual testing.
Generates Testing Library test files for React components, providing testing capabilities for component behavior and interactions.
Creates typed React components with TypeScript support, ensuring type safety in generated frontend code.
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 Frontend Tools Serverscaffold a login form component with email and password fields"
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 Frontend Tools Server
A Model Context Protocol (MCP) server that gives AI assistants (Claude, Copilot, Cursor) access to frontend development tools — component scaffolding, bundle analysis, accessibility checks, and responsive design guides.
Available Tools
Tool | Description |
| Generate a typed React component with tests, stories, and CSS module |
| Scan a build directory for oversized JS/CSS, report findings |
| Static WCAG 2.2 checks on HTML with fix suggestions |
| Generate responsive CSS, container query, and Tailwind patterns |
Setup
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"frontend-tools": {
"command": "node",
"args": ["/path/to/mcp-frontend-tools/dist/index.js"]
}
}
}VS Code with Copilot
Add to .vscode/settings.json:
{
"github.copilot.chat.mcpServers": {
"frontend-tools": {
"command": "node",
"args": ["${workspaceFolder}/mcp-frontend-tools/dist/index.js"]
}
}
}Example Usage (in AI Chat)
"Scaffold a UserProfileCard component with avatar, name, and bio props"
The AI calls scaffold_react_component and gets back:
UserProfileCard.tsx— Typed component with forwardRefUserProfileCard.test.tsx— Testing Library testsUserProfileCard.stories.tsx— Storybook storyUserProfileCard.module.css— CSS moduleindex.ts— Barrel export
"Analyze my dist/ folder for bundle size issues"
The AI calls analyze_bundle and returns a markdown report with oversized files, recommendations, and a summary table.
Architecture
src/
├── index.ts # MCP server setup (stdio transport)
└── tools/
├── index.ts # Tool definitions + router
├── scaffold-component.ts # React component generator
├── bundle-analyzer.ts # Build output analyzer
├── a11y-checker.ts # Static WCAG checks
└── responsive-guide.ts # Responsive CSS pattern generatorDevelopment
npm install
npm run build
npm run inspector # Test with MCP InspectorLicense
MIT
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