MCPInstall

stitch-mcp-cli

CLI for moving AI-generated UI designs from Google's Stitch platform into development workflows with local preview, site generation, and agent integration.

Installs
205
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/reason-machines/mcp-skills --skill stitch-mcp-cli
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads stitch-mcp-cli automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

stitch-mcp CLI

Skill by ara.so — MCP Skills collection.

Overview

stitch-mcp is a CLI tool that bridges Google's Stitch AI-generated UI design platform with local development workflows. It enables you to:

  • Preview all screens from a Stitch project on a local dev server
  • Generate deployable Astro sites by mapping screens to routes
  • Proxy Stitch MCP tools to coding agents with automatic token refresh
  • Browse and explore design data interactively in the terminal
  • Invoke MCP tools directly from the command line

The tool handles authentication, fetching HTML/CSS designs via the Stitch API, and structuring them for development or agent consumption.

Installation

Run directly with npx (no installation needed):

npx @_davideast/stitch-mcp <command>

Or install globally:

npm install -g @_davideast/stitch-mcp

Quick Start

1. Initialize Authentication

The init command sets up gcloud SDK, OAuth, and MCP client configuration:

npx @_davideast/stitch-mcp init

This wizard will:

  • Install an isolated gcloud SDK (if needed)
  • Guide you through OAuth authentication
  • Enable the Stitch API on your project
  • Generate MCP client configuration

2. Verify Setup

npx @_davideast/stitch-mcp doctor

Use --verbose flag for detailed diagnostics:

npx @_davideast/stitch-mcp doctor --verbose

3. Preview Designs Locally

Serve all screens from a project on a Vite dev server:

npx @_davideast/stitch-mcp serve -p <project-id>

This starts a local server (default: http://localhost:5173) with all project screens accessible.

4. Build an Astro Site

Generate a deployable Astro project from Stitch screens:

npx @_davideast/stitch-mcp site -p <project-id>

The command will:

  • Prompt you to map screens to routes (e.g., "/" for home, "/about" for about page)
  • Fetch HTML/CSS for each screen
  • Generate a complete Astro project structure
  • Output to ./stitch-site directory by default

Specify output directory:

npx @_davideast/stitch-mcp site -p <project-id> -o ./my-site

Authentication Methods

Method 1: Automatic OAuth (Recommended)

npx @_davideast/stitch-mcp init

Follow the wizard. Your credentials are stored in ~/.stitch-mcp/.

Method 2: API Key

Set the API key as an environment variable:

export STITCH_API_KEY="your-api-key"

This skips OAuth entirely.

Method 3: System gcloud

If you have gcloud CLI already configured:

gcloud auth application-default login
gcloud config set project <PROJECT_ID>
gcloud beta services mcp enable stitch.googleapis.com --project=<PROJECT_ID>

Then use with STITCH_USE_SYSTEM_GCLOUD=1:

STITCH_USE_SYSTEM_GCLOUD=1 npx @_davideast/stitch-mcp serve -p <project-id>

Logout

npx @_davideast/stitch-mcp logout

Force logout and clear all config:

npx @_davideast/stitch-mcp logout --force --clear-config

MCP Integration

Configure Your Agent

Add this to your MCP client config (e.g., claude_desktop_config.json, .cursor/config.json):

{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["@_davideast/stitch-mcp", "proxy"]
    }
  }
}

Using API key:

{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["@_davideast/stitch-mcp", "proxy"],
      "env": {
        "STITCH_API_KEY": "${STITCH_API_KEY}"
      }
    }
  }
}

Using system gcloud:

{
  "mcpServers": {
    "stitch": {
      "command": "npx",
      "args": ["@_davideast/stitch-mcp", "proxy"],
      "env": {
        "STITCH_USE_SYSTEM_GCLOUD": "1"
      }
    }
  }
}

Virtual Tools for Agents

The proxy exposes high-level tools that combine multiple API calls:

build_site

Builds a site from a project by mapping screens to routes. Returns HTML for each page.

Input schema:

{
  projectId: string;      // Required
  routes: Array<{
    screenId: string;     // Required
    route: string;        // Required, e.g. "/" or "/about"
  }>;
}

Example usage from CLI:

npx @_davideast/stitch-mcp tool build_site -d '{
  "projectId": "123456",
  "routes": [
    { "screenId": "abc123", "route": "/" },
    { "screenId": "def456", "route": "/about" },
    { "screenId": "ghi789", "route": "/contact" }
  ]
}'

Prompt for agent:

Use the build_site tool to create a website from my Stitch project 123456.
Map screen abc123 to the home page, def456 to /about, and ghi789 to /contact.

get_screen_code

Retrieves a screen and downloads its HTML code content.

npx @_davideast/stitch-mcp tool get_screen_code -d '{
  "projectId": "123456",
  "screenId": "abc123"
}'

get_screen_image

Retrieves a screen and downloads its screenshot image as base64.

npx @_davideast/stitch-mcp tool get_screen_image -d '{
  "projectId": "123456",
  "screenId": "abc123"
}'

Key Commands

Exploration & Browsing

View Projects

npx @_davideast/stitch-mcp view --projects

Opens an interactive browser listing all your Stitch projects.

View Specific Project

npx @_davideast/stitch-mcp view --project <project-id>

Shows all screens in the project.

View Specific Screen

npx @_davideast/stitch-mcp view --project <project-id> --screen <screen-id>

Interactive browser controls:

  • Arrow keys: navigate
  • Enter: drill into nested data
  • c: copy selected value to clipboard
  • s: preview HTML in browser
  • o: open project in Stitch
  • q: quit

Browse Screens in Terminal

npx @_davideast/stitch-mcp screens -p <project-id>

Displays an interactive list of all screens with preview and copy actions.

Tool Invocation

List All Available Tools

npx @_davideast/stitch-mcp tool

Show Tool Schema

npx @_davideast/stitch-mcp tool <tool-name> -s

Example:

npx @_davideast/stitch-mcp tool build_site -s

Invoke a Tool

npx @_davideast/stitch-mcp tool <tool-name> -d '<json-data>'

Example:

npx @_davideast/stitch-mcp tool get_screen_code -d '{
  "projectId": "123456",
  "screenId": "abc123"
}'

Development Workflow

Serve Project Locally

npx @_davideast/stitch-mcp serve -p <project-id>

Custom port:

npx @_davideast/stitch-mcp serve -p <project-id> --port 3000

Generate Astro Site

npx @_davideast/stitch-mcp site -p <project-id>

Non-interactive mode with config file:

Create routes.json:

{
  "routes": [
    { "screenId": "abc123", "route": "/" },
    { "screenId": "def456", "route": "/about" }
  ]
}

Then run:

npx @_davideast/stitch-mcp site -p <project-id> --config routes.json -o ./output

Save Screen Snapshot

npx @_davideast/stitch-mcp snapshot -p <project-id> -s <screen-id> -o ./snapshot.html

MCP Proxy

Start the proxy server for agent integration:

npx @_davideast/stitch-mcp proxy

Debug mode (logs to /tmp/stitch-proxy-debug.log):

npx @_davideast/stitch-mcp proxy --debug

Environment Variables

VariableDescription
STITCH_API_KEYAPI key for direct authentication (skips OAuth)
STITCH_ACCESS_TOKENPre-existing access token
STITCH_USE_SYSTEM_GCLOUDUse system gcloud config instead of isolated config
STITCH_PROJECT_IDOverride project ID
GOOGLE_CLOUD_PROJECTAlternative project ID variable
STITCH_HOSTCustom Stitch API endpoint

Common Patterns

Pattern 1: Preview All Designs Before Building

# 1. Browse available screens
npx @_davideast/stitch-mcp screens -p <project-id>

# 2. Serve locally to review designs
npx @_davideast/stitch-mcp serve -p <project-id>

# 3. Build site after confirming screens
npx @_davideast/stitch-mcp site -p <project-id>

Pattern 2: Agent-Driven Site Generation

User prompt to agent:

I have a Stitch project with ID 123456. It has three screens:
- Home page (screen ID: abc123)
- About page (screen ID: def456)
- Contact page (screen ID: ghi789)

Use the build_site tool to generate HTML for all three pages with routes /, /about, and /contact.
Then help me integrate them into my Next.js project.

The agent will use build_site and can help integrate the resulting HTML.

Pattern 3: Iterative Design Review

# View specific screen details
npx @_davideast/stitch-mcp view --project <project-id> --screen <screen-id>

# Preview in browser (press 's' in interactive view)
# Or manually:
npx @_davideast/stitch-mcp snapshot -p <project-id> -s <screen-id> -o ./preview.html
open ./preview.html

# Get the HTML code for integration
npx @_davideast/stitch-mcp tool get_screen_code -d '{
  "projectId": "<project-id>",
  "screenId": "<screen-id>"
}'

Pattern 4: Automated Site Builds in CI

#!/bin/bash
# ci-build-stitch.sh

export STITCH_API_KEY="${STITCH_API_KEY}"
PROJECT_ID="123456"

# Generate site with predefined routes
npx @_davideast/stitch-mcp site -p "$PROJECT_ID" \
  --config ./stitch-routes.json \
  -o ./dist/stitch-site \
  --non-interactive

# Deploy the generated site
cd ./dist/stitch-site
npm install
npm run build

stitch-routes.json:

{
  "routes": [
    { "screenId": "home_abc", "route": "/" },
    { "screenId": "about_def", "route": "/about" },
    { "screenId": "contact_ghi", "route": "/contact" }
  ]
}

Troubleshooting

"Permission Denied" Errors

Symptoms: API calls fail with 403 or permission errors.

Solutions:

  1. Verify your GCP role (need Owner or Editor):

    gcloud projects get-iam-policy <PROJECT_ID> \
      --flatten="bindings[].members" \
      --filter="bindings.members:user:your-email@example.com"
    
  2. Ensure billing is enabled:

    gcloud billing projects describe <PROJECT_ID>
    
  3. Enable Stitch API:

    gcloud beta services mcp enable stitch.googleapis.com --project=<PROJECT_ID>
    
  4. Run diagnostics:

    npx @_davideast/stitch-mcp doctor --verbose
    

Authentication URL Not Appearing

Symptoms: No browser opens or URL not printed during init.

Solutions:

  1. Look for URL in terminal output (5-second timeout)
  2. Check for URLs starting with https://accounts.google.com
  3. In proxy debug mode, check /tmp/stitch-proxy-debug.log
  4. In remote environments (WSL/SSH/Docker), copy the URL manually:
    npx @_davideast/stitch-mcp init
    # Copy the URL from terminal output and open in browser
    

"Already Authenticated" Issues

Symptoms: Shows as logged in but commands fail.

Cause: The bundled gcloud SDK has separate auth from system gcloud.

Solution:

npx @_davideast/stitch-mcp logout --force --clear-config
npx @_davideast/stitch-mcp init

API Connection Fails After Setup

Solutions:

  1. Run full diagnostics:

    npx @_davideast/stitch-mcp doctor --verbose
    
  2. Re-authenticate:

    npx @_davideast/stitch-mcp logout --force
    npx @_davideast/stitch-mcp init
    
  3. Verify project and billing:

    gcloud config get-value project
    gcloud billing projects describe $(gcloud config get-value project)
    

WSL / SSH / Docker Environments

Symptoms: Browser-based auth doesn't work automatically.

Solution: The CLI detects these environments. Copy the OAuth URL from terminal output and open it in a browser manually. The URL will be printed to stdout with clear instructions.

MCP Proxy Not Responding

Symptoms: Agent can't connect to Stitch tools.

Solutions:

  1. Run proxy with debug logging:

    npx @_davideast/stitch-mcp proxy --debug
    
  2. Check logs:

    tail -f /tmp/stitch-proxy-debug.log
    
  3. Verify MCP client config syntax:

    cat ~/.config/claude/claude_desktop_config.json | jq .
    
  4. Restart your MCP client (VS Code, Cursor, etc.)

Tool Invocation Failures

Symptoms: tool command returns errors or empty responses.

Solutions:

  1. Check tool schema:

    npx @_davideast/stitch-mcp tool <tool-name> -s
    
  2. Validate JSON data:

    echo '{"projectId":"123"}' | jq .
    
  3. Test with simpler tool first:

    npx @_davideast/stitch-mcp tool list_projects
    
  4. Ensure project and screen IDs are correct:

    npx @_davideast/stitch-mcp view --projects
    

Development & Testing

# Clone and install
git clone https://github.com/davideast/stitch-mcp.git
cd stitch-mcp
bun install

# Run locally
bun run dev init

# Run specific command
bun run dev serve -p <project-id>

# Run tests
bun test

# Build
bun run build

# Verify package
bun run verify-pack

Real-World Agent Prompts

Example 1: Site Generation

I have a Stitch project (ID: 456789) with these screens:
- Landing page: screen_landing_001
- Features page: screen_features_002
- Pricing page: screen_pricing_003

Please use the build_site tool to generate a site with:
- Landing at /
- Features at /features
- Pricing at /pricing

Then show me how to integrate the HTML into my existing React project.

Example 2: Design Review

Get the HTML code for screen abc123 from project 456789 using get_screen_code.
Then analyze the CSS and suggest improvements for mobile responsiveness.

Example 3: Batch Export

For project 456789, use get_screen_image to export all screen screenshots as base64.
Save them to a design-assets/ directory for our design system documentation.

License

Apache 2.0 © David East

Disclaimer: This is an experimental, independent project not affiliated with Google LLC or the Stitch team. Use at your own risk.

FAQ

What does the stitch-mcp-cli skill do?

CLI for moving AI-generated UI designs from Google's Stitch platform into development workflows with local preview, site generation, and agent integration.

How do I install stitch-mcp-cli?

Run npx skills add https://github.com/reason-machines/mcp-skills --skill stitch-mcp-cli in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/stitch-mcp-cli/ (personal) or .claude/skills/stitch-mcp-cli/ (project).

Which AI agents can use stitch-mcp-cli?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is stitch-mcp-cli safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains stitch-mcp-cli?

It is published by reason-machines in reason-machines/mcp-skills. It has 205 recorded installs.

More from reason-machines/mcp-skills

View all →

codebase-memory-mcp-intelligence

reason-machines/mcp-skills

High-performance code intelligence MCP server that indexes codebases into knowledge graphs for structural queries, call traces, and architecture analysis

AI & Agents505 installs

playwright-mcp-server

reason-machines/mcp-skills

Browser automation MCP server using Playwright's accessibility tree for LLM-friendly web interaction

AI & Agents285 installs

tradingview-mcp-assistant

reason-machines/mcp-skills

AI-assisted TradingView chart analysis and automation via Chrome DevTools Protocol for Claude Code

AI & Agents262 installs

lanhu-mcp-collaboration

reason-machines/mcp-skills

AI-powered design collaboration server connecting Lanhu design platform with AI coding assistants for requirements analysis, UI design extraction, and team knowledge sharing

AI & Agents256 installs

google-meta-ads-ga4-mcp

reason-machines/mcp-skills

MCP server for Google Ads, Meta Ads & GA4 — 250+ tools for campaign management, analytics & optimization across all platforms

Marketing & SEO240 installs

chrome-devtools-mcp-automation

reason-machines/mcp-skills

Expert guidance for Chrome DevTools MCP server - browser automation, debugging, and performance analysis for AI agents

AI & Agents239 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs