Mockit MCP
Generate iOS UI mockups as PNG and HTML from a text prompt, using Claude and a headless Playwright renderer.
Que pouvez-vous faire avec Mockit MCP ?
- Two backends, same tools. Use the local
claudeCLI (subscription, $0 extra) or the Anthropic API (key + per-call pricing). Switch with one env var. - Real PNG output. Headless Chromium via Playwright. Default viewport is 390×844 @2x (iPhone-class); any custom size is one env var away.
- Iterative refinement.
iterate_screentakes a screen ID + feedback ("make the hero card smaller") and produces a new version, tracking parent/child. - Disk-backed library. Every generation saves HTML + PNG + JSON metadata. Browse, filter, re-export.
- MCP standard. Works with Claude Code, Claude Desktop, Cursor, Windsurf, or any MCP client.
- Stdio + HTTP transports. Run locally for dev, or as a network service for shared / containerized use.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
mockit-mcp
Turn text prompts into premium iOS mobile UI mockups.
An MCP server that pairs Claude (Opus 4.7 by default) with a Playwright renderer to generate screenshot-grade mobile app designs from natural language.
What it does
Ask Claude Code (or any MCP client):
Design the home dashboard for a fitness tracker. Three concentric activity rings, weekly bar chart, recent workouts list, premium dark mode with neon accents.
mockit-mcp returns a real PNG mockup (sized 390×844 at 2x device scale, an iPhone-class viewport) and the underlying HTML/Tailwind source — so you can iterate visually and port to SwiftUI when you're ready to build.
It's not a static template engine and it's not generic AI slop. The system prompt is hand-tuned for premium iOS aesthetics: real content, SVG icons (no emoji), tasteful gradients in place of stock photos, iOS HIG type scale, and tonal layering instead of heavy shadows.
Fitness dashboard
Volume calculator (Turkish)
Generated from a single prompt each. See examples/.
Highlights
- Two backends, same tools. Use the local
claudeCLI (subscription, $0 extra) or the Anthropic API (key + per-call pricing). Switch with one env var. - Real PNG output. Headless Chromium via Playwright. Default viewport is 390×844 @2x (iPhone-class); any custom size is one env var away.
- Iterative refinement.
iterate_screentakes a screen ID + feedback ("make the hero card smaller") and produces a new version, tracking parent/child. - Disk-backed library. Every generation saves HTML + PNG + JSON metadata. Browse, filter, re-export.
- MCP standard. Works with Claude Code, Claude Desktop, Cursor, Windsurf, or any MCP client.
- Stdio + HTTP transports. Run locally for dev, or as a network service for shared / containerized use.
Tools
| Tool | Description |
|---|---|
generate_screen | Text brief → PNG + HTML. Optional design_system and project fields. |
iterate_screen | Take a previous screen_id + feedback string, produce a new version. |
list_screens | List screens, optionally filtered by project. |
get_screen | Fetch metadata (or full HTML) for a specific screen. |
Install
Prerequisites
- Node.js 20+
- Either the
claudeCLI logged in (clibackend, default) or an Anthropic API key (apibackend) - Playwright's Chromium download (~170 MB, one-time)
Quick start (CLI backend, recommended for local dev)
git clone https://github.com/karyaboyraz/mockit-mcp.git
cd mockit-mcp
npm install
npx playwright install chromium
npm run build
Add to Claude Code:
claude mcp add mockit -- node "$(pwd)/dist/server.js"
Done. No API key needed — it uses your existing claude CLI session.
API backend (no claude CLI on host)
echo "CLAUDE_BACKEND=api" > .env
echo "ANTHROPIC_API_KEY=sk-ant-..." >> .env
npm run build
claude mcp add mockit -- node "$(pwd)/dist/server.js"
Docker (HTTP transport, for shared deployment)
cat > .env <<'ENV'
CLAUDE_BACKEND=api
ANTHROPIC_API_KEY=sk-ant-...
# Required if you change the port binding from 127.0.0.1 to 0.0.0.0:
MCP_HTTP_TOKEN=$(openssl rand -hex 32)
ENV
docker compose up -d --build
By default docker-compose.yml binds the HTTP port to 127.0.0.1 only and the server requires MCP_HTTP_TOKEN for any non-loopback request. Don't expose this server to a public network without setting a strong MCP_HTTP_TOKEN — every generation hits your Anthropic API key.
Then point any client at the loopback URL:
claude mcp add --transport http mockit http://127.0.0.1:7821/mcp \
-H "Authorization: Bearer <MCP_HTTP_TOKEN>"
For remote access, change docker-compose.yml's port binding to 0.0.0.0:7821:7821 and ensure MCP_HTTP_TOKEN is set — the server refuses to start otherwise.
Usage
In any MCP client, just ask:
Design a fitness tracker dashboard. Show today's ring progress, a weekly chart, and a list of recent workouts. Dark mode, neon green accent.
The PNG appears inline. The HTML is saved to designs/{project}/{name}-{id}.html.
For follow-ups:
iterate_screen on that fitness dashboard — replace the chart with heart-rate over time, and add a "share workout" button below.
See examples/ for prompt patterns and full outputs.
Configuration
All optional. See .env.example for the full list.
| Env | Default | Notes |
|---|---|---|
CLAUDE_BACKEND | cli | cli uses the claude CLI; api uses Anthropic SDK directly |
ANTHROPIC_API_KEY | — | Required only for api backend |
ANTHROPIC_MODEL | claude-opus-4-7 | API backend only. If your account doesn't have Opus access, set to claude-sonnet-4-6 or claude-haiku-4-5 |
CLAUDE_CLI_PATH | claude | Path to the claude binary |
CLAUDE_CLI_TIMEOUT_MS | 180000 | Subprocess timeout |
MCP_TRANSPORT | stdio | stdio or http |
HTTP_PORT | 7821 | HTTP transport port |
HTTP_HOST | 127.0.0.1 | Bind interface; non-loopback requires MCP_HTTP_TOKEN |
MCP_HTTP_TOKEN | — | Bearer token for HTTP auth. Required if HTTP_HOST is non-loopback |
DESIGNS_DIR | ./designs | Where outputs are persisted |
VIEWPORT_WIDTH | 390 | Render width in CSS pixels |
VIEWPORT_HEIGHT | 844 | Render height in CSS pixels |
DEVICE_SCALE | 2 | Retina factor (final PNG is WIDTH × DEVICE_SCALE wide) |
PLAYWRIGHT_NO_SANDBOX | auto | auto = sandbox enabled outside containers; true to force-disable, false to force-enable. Disabling reduces isolation against malicious model HTML — only do so inside a container. |
Cost
Per generation: ~3K input tokens (system prompt) + ~6–12K output tokens depending on screen complexity. Output dominates the cost on Opus.
| Backend | First call | Cached follow-up |
|---|---|---|
cli | counts against your Claude Code subscription quota | same — cache only discounts the system prompt |
api | ~$0.50–0.95 (Opus 4.7) | ~$0.45–0.90 (cache discounts the system-prompt input only; output cost is unchanged) |
System-prompt caching is on by default (5-minute TTL). It saves a few cents per call but is not an order-of-magnitude discount — output tokens still bill at full rate. For real cost reduction, switch to a smaller model (claude-sonnet-4-6 or claude-haiku-4-5).
Architecture
┌─────────────────┐
│ MCP Client │ (Claude Code, Cursor, Windsurf, …)
└────────┬────────┘
│ tool call: generate_screen({ prompt, ... })
▼
┌─────────────────────────────────────────────────────┐
│ mockit-mcp │
│ │
│ ┌──────────────┐ ┌────────────────────────┐ │
│ │ Backend │ │ Renderer │ │
│ │ │ │ │ │
│ │ ► cli ─────┼──► │ Playwright (headless │ │
│ │ ► api ─────┘ │ Chromium @ iPhone │ │
│ │ → HTML+Tailwind │ viewport) │ │
│ └──────────────┘ │ → PNG screenshot │ │
│ └────────────────────────┘ │
│ │
│ ┌────────────────────────────────────────────┐ │
│ │ Storage (disk): HTML + PNG + JSON metadata │ │
│ └────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────┘
Storage layout
designs/
└── {project-slug}/
├── {name-slug}-{id8}.html # id8 = first 8 chars of the screen UUID
├── {name-slug}-{id8}.png
└── {name-slug}-{id8}.json # full UUID, prompt, parent ID, tokens, model, cost
Documentation
Reference and guides live in docs/:
| Topic | Page |
|---|---|
| Install, first generation, verify | Getting Started |
| Every env var, defaults, what they do | Configuration |
| The four MCP tools — schemas, examples | Tools Reference |
| Pipeline end-to-end | Architecture |
| Local, Docker, networked deployments | Deployment |
| Sandbox, network allowlist, HTTP auth | Security |
| How the design voice is encoded | System Prompt |
| Common errors and how to fix them | Troubleshooting |
Tuning the design voice
The hand-tuned system prompt lives in src/system-prompt.ts. It's where the iOS HIG enforcement, the no-stock-photo rule, the SF Pro fallback chain, and the editorial typography preferences are encoded. Want Material You instead, or a desktop dashboard voice? Edit it.
Development
npm run dev # tsx watch mode, stdio transport
npm run http # tsx watch mode, http transport on :7821
npm run build # compile to dist/
Roadmap
- [ ] Watch / iPad / Android viewport presets
- [ ] Multi-screen flow generation (onboarding sequences)
- [ ] HTML → SwiftUI / Jetpack Compose port tool
- [ ] Design system import (Tailwind config, design tokens)
- [ ] Image references (use
--imagefor visual inspiration) - [ ] Variant generation (3-5 alternatives per prompt)
Contributing
Issues and PRs welcome — see CONTRIBUTING.md.
License
Acknowledgements
Built on top of:
- Anthropic Claude — the model that does the heavy lifting
- Model Context Protocol — the integration standard
- Playwright — the renderer
- Tailwind CSS — via CDN, in every generated screen
Trademarks
iPhone, iPad, Apple Watch, and iOS are trademarks of Apple Inc. Claude is a trademark of Anthropic, PBC. mockit-mcp is an independent open-source project and is not affiliated with, endorsed by, or sponsored by Apple Inc. or Anthropic, PBC. All other product names, logos, and brands are property of their respective owners.
Questions fréquentes
Qu'est-ce que Mockit MCP ?
Generate iOS UI mockups as PNG and HTML from a text prompt, using Claude and a headless Playwright renderer.
Comment installer Mockit MCP ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
Mockit MCP est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Mockit MCP ?
Il est publié par karyaboyraz. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.