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Stitch MCP Server

npm version npm downloads License: MIT Node.js Version CI

Enterprise-ready Model Context Protocol (MCP) server for Google Stitch SDK — Generate beautiful web UIs from text prompts using AI.

The Stitch MCP Server bridges your AI coding assistant (Claude, Cursor, Cline, Copilot, etc.) with Google's Stitch UI Generation API. Design, generate, and scaffold production-ready HTML components directly into your workspace using natural language.


Features

Feature

Description

AI UI Generation

Generate complete HTML screens from text descriptions

Edit and Iterate

Modify existing screens with natural language prompts

Design Variants

Generate multiple design variations to explore options

Auto-Scaffold

Save generated UI directly to your project files

Multi-Client Support

Works with Claude Desktop, Cursor, Cline (VS Code), and any MCP client

One-Click Setup

Interactive installer configures everything automatically


Quick Start

Prerequisites

  • Node.js 18.0.0 or higher

  • Stitch API KeyGet one here (sign in with Google)

Installation (30 seconds)

Run the interactive setup wizard:

npx stitch-mcp-server setup

This will:

  1. Ask which AI tools you want to configure (Claude, Cursor, Cline)

  2. Prompt for your Stitch API key

  3. Automatically update your MCP configuration files

  4. Done - restart your AI tool and start generating UIs

Manual Configuration

If you prefer manual setup, add this to your MCP config file:

{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["-y", "stitch-mcp-server@latest"],
      "env": {
        "STITCH_API_KEY": "your-api-key-here"
      }
    }
  }
}
{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["-y", "stitch-mcp-server@latest"],
      "env": {
        "STITCH_API_KEY": "your-api-key-here"
      }
    }
  }
}
{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["-y", "stitch-mcp-server@latest"],
      "env": {
        "STITCH_API_KEY": "your-api-key-here"
      }
    }
  }
}

Available Tools

Core Tools

Tool

Description

Example Prompt

create_project

Create a new Stitch project

"Create a project called 'My App'"

list_projects

List all your projects

"Show my Stitch projects"

generate_screen

Generate a UI from description

"Create a login page with email and password"

edit_screen

Modify an existing screen

"Make the background dark and add a sidebar"

generate_variants

Create design alternatives

"Show me 3 different color schemes"

Advanced Tools

Tool

Description

Use Case

get_screen_code

Fetch HTML source code

Get the raw HTML for a generated screen

get_screen_image

Get screenshot URL

Preview the generated design

generate_and_fetch_code

Generate + fetch in one call

Streamlined workflow for quick prototyping

scaffold_project_files

Save HTML to local files

Export directly to src/components/

Resources

  • stitch://projects — List all projects as context

  • stitch://projects/{id}/screens — List screens in a project

Prompts

  • create_web_app — Guided workflow to build a complete web app from idea to scaffolded files


Usage Examples

Generate a Landing Page

Create a modern landing page for a SaaS product with:
- Hero section with headline and CTA button
- Features grid with 3 columns
- Testimonials carousel
- Footer with links

Create a Dashboard

Generate an admin dashboard with:
- Sidebar navigation
- Stats cards at the top
- Data table with pagination
- Dark mode theme

Edit an Existing Design

Take the login screen and:
- Add social login buttons (Google, GitHub)
- Make it mobile responsive
- Add a "Remember me" checkbox

Local Development

# Clone the repo
git clone https://github.com/0x-Professor/Stitch-mcp-server.git
cd Stitch-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run locally
STITCH_API_KEY=your-key npm start

Running Tests

STITCH_API_KEY=your-key npm test

Tech Stack


Security

This server implements several security measures:

  • Path Traversal Protection — Prevents writing files outside your workspace

  • Input Validation — All inputs validated with Zod schemas

  • Secure Config Storage — API keys stored with restricted file permissions (0600)

  • HTTP Response Validation — Proper error handling for all network requests


Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request


License

MIT - 0x-Professor



A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
2dResponse time
1dRelease cycle
5Releases (12mo)

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