Provides tools to create, edit, and manage UI designs through Google Stitch, generating HTML and screenshots for UI prototyping.
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., "@stitch-bridge Generate a mobile login screen with email and Google sign-in"
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 server that gives AI coding agents the ability to design UIs through Google Stitch.
Your agent describes what it wants. Stitch generates production-ready HTML. stitch-bridge handles everything in between.
Your AI Agent <--> stitch-bridge (MCP) <--> Google Stitch SDK --> HTML / Screenshotsstitch-bridge runs as a local Model Context Protocol server over stdio. Any MCP-compatible client (Claude Code, Cursor, Windsurf, etc.) can connect to it and use 9 tools to create, edit, and manage UI designs, all through natural language prompts.
The Stitch SDK handles the actual generation using Gemini models. stitch-bridge fetches the results (HTML source, base64 screenshots) and returns them directly to the agent, so it can inspect, iterate, or save the output without leaving its workflow.
Related MCP server: Stitch-MCP
Sign up at stitch.google.com and grab your API key.
Add to your MCP config (e.g. .mcp.json, claude_desktop_config.json, or your editor's MCP settings):
{
"mcpServers": {
"stitch-bridge": {
"command": "npx",
"args": ["-y", "stitch-bridge"],
"env": {
"STITCH_API_KEY": "your-api-key"
}
}
}
}Or install globally:
npm install -g stitch-bridgeThen configure with command: "stitch-bridge" instead of using npx.
Ask your agent to design something:
"Create a project and generate a mobile login screen with email and Google sign-in"
The agent will call create_project, then generate_screen, and return the full HTML.
Tool | Description | Required params |
| List all accessible projects | - |
| Create a new project | - |
| Generate UI from a text prompt |
|
| Edit an existing screen |
|
| Create 1-5 design alternatives |
|
| List screens in a project |
|
| Get full HTML of a screen |
|
| Get base64 screenshot |
|
| Assemble multi-page site from screens |
|
Device types: MOBILE, DESKTOP, TABLET, AGNOSTIC
Models: GEMINI_3_PRO, GEMINI_3_FLASH (default)
Both are optional parameters on generate_screen, edit_screen, and generate_variants.
Every tool returns JSON. The key outputs:
Generated screens return the full HTML source inline:
{
"projectId": "proj-abc",
"screenId": "scr-123",
"html": "<!DOCTYPE html><html>..."
}Screenshots return base64-encoded images:
{
"screenId": "scr-123",
"base64": "iVBORw0KGgo...",
"mimeType": "image/png"
}Multi-page sites return HTML per route:
{
"projectId": "proj-abc",
"pages": [
{ "route": "/", "screenId": "scr-1", "html": "..." },
{ "route": "/about", "screenId": "scr-2", "html": "..." }
]
}Environment variable | Description |
| Stitch API key (recommended) |
| Alternative: OAuth access token |
One of the two is required.
npm install
npm run build # Compile TypeScript
npm run dev # Watch mode
npm test # Run tests
npm start # Run the MCP serverRequires Node.js >= 18.
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
MCP server for Google Veo AI video generation
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
MCP server for generating rough-draft project plans from natural-language prompts.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jlhernando/stitch-bridge'
If you have feedback or need assistance with the MCP directory API, please join our Discord server