# Imugi

> Give AI eyes to see your frontend. Design → pixel-perfect code with visual verification. MCP server for Claude Code & Cursor.

- **Type:** MCP server
- **Install:** `agentstack add mcp-m00n7682-imugi`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [M00N7682](https://agentstack.voostack.com/s/m00n7682)
- **Installs:** 0
- **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [M00N7682](https://github.com/M00N7682)
- **Source:** https://github.com/M00N7682/imugi
- **Website:** https://imugi-docs.vercel.app

## Install

```sh
agentstack add mcp-m00n7682-imugi
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# imugi

[](https://www.npmjs.com/package/imugi-ai)
[](https://github.com/M00N7682/imugi/stargazers)
[](https://opensource.org/licenses/MIT)
[](https://nodejs.org)
[](https://github.com/M00N7682/imugi)

**Give AI eyes to see your frontend.**

*Figma design → pixel-perfect code, with zero manual CSS tweaking.*

*imugi is an MCP tool that captures your running UI, compares it against the original design using image similarity, and keeps pushing AI to fix the code until it's a perfect match.*

[Get Started](#quick-start) · [Docs](https://imugi.ddstudio.co.kr) · [MCP Tools](#mcp-tools) · [Examples](#examples) · [Contributing](CONTRIBUTING.md)

---

## The Problem

You give AI a Figma design and ask it to build the frontend. The result looks... *close*. But then you spend the next 2 hours manually tweaking padding, font sizes, colors, and alignment — because AI has no way to verify what it actually produced.

**imugi fixes this.** It gives AI the ability to screenshot its own output, compare it pixel-by-pixel against the design, see exactly where the differences are, and fix them — automatically, in a loop, until the implementation matches the design.

No more eyeballing. No more manual CSS tweaking. The AI does it all.

---

## How it works

```
Design Image → Code Generation → Screenshot → Compare → Analyze → Patch
                                                                     ↓
                                                              Score ≥ 95%? → Done!
                                                                     ↓ No
                                                                   Repeat
```

imugi uses **SSIM** (Structural Similarity) + **pixelmatch** + **Claude Vision** to compare design images against live rendered output, then automatically patches the code to close the gap. This is the **Boulder Loop** — it keeps rolling until your code matches the design.

---

## Why imugi?

| | Without imugi | With imugi |
|---|---|---|
| **Design fidelity** | "Looks close enough" — eyeball and pray | Pixel-level verification with composite score (SSIM + pixel diff + AI vision) |
| **CSS tweaking** | 2+ hours of manual padding/color/font fixes | AI fixes its own mistakes automatically |
| **Feedback loop** | You are the feedback loop | imugi is the feedback loop — screenshots, compares, patches, repeats |
| **Framework support** | Configure each project manually | Auto-detects React, Vue, Svelte, Next.js, Tailwind, CSS Modules, and more |
| **AI integration** | Copy-paste screenshots between tools | Drop-in MCP server for Claude Code / Cursor — zero setup |
| **Cost** | Extra API keys, extra subscriptions | **No API key needed in MCP mode** — uses your existing AI editor |

---

## Quick Start

### Step 1: Install & Setup

```bash
npm install -g imugi-ai

# One-click setup: installs Playwright browser, detects project, creates config
imugi init
```

### Step 2: Add to your AI tool

Add imugi as an MCP server in your Claude Code or Cursor config (no API key required):

```json
{
  "mcpServers": {
    "imugi": {
      "command": "npx",
      "args": ["-y", "imugi-ai", "mcp"]
    }
  }
}
```

### Step 3: Build something

Ask your AI to implement a design — imugi handles the visual verification loop.

```
Implement this login page design. Here's the reference: ./login-design.png
```

That's it. imugi captures, compares, and patches until the output matches your design.

---

## Examples

### Design → Code (zero manual CSS)

A terminal-inspired hero section — designed in Figma/Pencil, implemented entirely by AI + imugi. No manual CSS tweaking involved.

> Left: original design. Right: AI-generated code verified by imugi. The AI iterated autonomously until it achieved a pixel-perfect match — nav bar, hero CTA, flow diagram, MCP tools grid, footer, all matching the design down to the pixel.

See the full example at [`examples/hero-section/`](examples/hero-section/).

### More Examples

| Example | Description |
|---------|-------------|
| [`hero-section/`](examples/hero-section/) | Terminal-inspired landing hero with flow diagram |
| [`login-page/`](examples/login-page/) | Split-panel login with social auth buttons |
| [`pricing-page/`](examples/pricing-page/) | 3-tier pricing cards (Starter / Pro / Enterprise) |
| [`dashboard/`](examples/dashboard/) | Analytics dashboard with sidebar, stats, and chart |

---

## Features

- **Visual Comparison Engine** — SSIM + pixel diff scoring with red heatmap showing exact diff locations
- **Region Crop Pairs** — Side-by-side crop images of each diff region (design vs your code) so AI can visually compare specific areas
- **DOM Style Extraction** — Extracts computed CSS from your running page (font-size, color, padding, etc.) and maps them to diff regions — AI knows exactly what CSS values to change
- **Figma Spec Diff** — When `FIGMA_TOKEN` is set, fetches exact design specs from Figma API and diffs them against your DOM: `fontSize: design=42px → your code=48px`. No guessing from pixels
- **Boulder Loop** — Automated iterative improvement: capture → compare → patch → repeat until 95%+ match
- **MCP Server** — Drop-in for Claude Code / Cursor / any MCP-compatible AI tool. No API key needed
- **Figma Integration** — Export Figma frames directly via URL (`imugi figma `), no manual export
- **Project Auto-Detection** — Detects React/Vue/Svelte/Next.js, Tailwind/CSS Modules/styled-components, TypeScript/JavaScript
- **Smart Patching** — Full rewrite for low scores (= 0.7)
- **Interactive Agent** — Terminal UI with real-time iteration progress (powered by Ink)
- **CI/CD Ready** — GitHub Action for visual regression testing in your pipeline

---

## Usage Modes

### As MCP Server (Recommended)

```bash
imugi mcp
```

Works with Claude Code, Cursor, and any MCP-compatible tool. The AI calls imugi tools to verify and fix its own frontend output.

> **No API key needed for MCP mode.** imugi provides the eyes (capture, compare, heatmap). Your AI editor provides the brain (code generation, patching). You provide nothing extra — zero additional cost.

### As Interactive Agent

```bash
export ANTHROPIC_API_KEY=sk-ant-...
imugi
```

Then describe what you want:

```
> implement this design ./login-design.png
```

### One-shot Generation

```bash
imugi generate ./design.png --output src/app/page.tsx
```

### Compare Only

```bash
# Compare against a local screenshot file
imugi compare ./design.png --screenshot ./current.png

# Compare against a running dev server URL
imugi compare ./design.png --screenshot http://localhost:3000
```

### Figma Export

```bash
# Export a Figma frame as PNG
imugi figma "https://www.figma.com/design/FILE_KEY/name?node-id=42-1234"

# Export at 3x scale with custom output path
imugi figma "https://www.figma.com/design/FILE_KEY/name?node-id=42-1234" -s 3 -o design.png

# Export and immediately compare against dev server
imugi figma "https://www.figma.com/design/FILE_KEY/name?node-id=42-1234" --compare
```

Requires a Figma personal access token via `FIGMA_TOKEN` environment variable or `figma.token` in config.

---

## MCP Tools

| Tool | Description |
|------|-------------|
| `imugi_iterate` | **The main loop tool.** Captures screenshot → compares against design → analyzes diffs → returns score + heatmap + region crop pairs + DOM computed styles + Figma spec diff (if `FIGMA_TOKEN` set). Returns `ACTION_REQUIRED` or `DONE`. Call repeatedly after each code fix. |
| `imugi_capture` | Screenshot a URL via headless Chromium |
| `imugi_compare` | Compare design vs screenshot — returns SSIM score, pixel diff, heatmap, and region crop pairs |
| `imugi_analyze` | Analyze visual differences with actionable fix suggestions |
| `imugi_figma_export` | Export a Figma frame as PNG via URL or file key + node ID |
| `imugi_detect` | Detect project tech stack (framework, CSS, language) |
| `imugi_serve` | Start a dev server for the target project |

---

## Comparison Algorithm

The composite score combines multiple signals:

| Signal | What it measures |
|--------|-----------------|
| **SSIM** | Structural similarity — luminance, contrast, structure |
| **Pixel diff** | Raw pixel-level comparison via pixelmatch |
| **Claude Vision** | AI-powered visual assessment (CLI agent mode, activated for scores = 0.7 | **Surgical patch** | Targeted fixes only |

---

## Configuration

Create `imugi.config.json` in your project root:

```json
{
  "comparison": {
    "threshold": 0.95,
    "maxIterations": 10
  },
  "rendering": {
    "port": 3000,
    "viewport": { "width": 1440, "height": 900 }
  }
}
```

### Environment Variables

| Variable | Description |
|----------|-------------|
| `ANTHROPIC_API_KEY` | Anthropic API key |
| `IMUGI_API_KEY` | Alternative API key |
| `IMUGI_THRESHOLD` | Similarity threshold (0.8–0.99) |
| `IMUGI_MAX_ITERATIONS` | Max iterations (1–50) |
| `IMUGI_PORT` | Dev server port |
| `FIGMA_TOKEN` | Figma personal access token — enables Figma export, and **exact CSS spec diff** in `imugi_iterate` (design values vs your code) |

---

## Architecture

```
src/
├── cli.ts              # CLI entry point (Commander.js)
├── mcp/server.ts       # MCP server (stdio transport)
├── agent/
│   ├── auth.ts         # OAuth PKCE + API key auth
│   ├── loop.ts         # Boulder Loop — iterative improvement
│   ├── session.ts      # State management
│   └── ui.tsx          # Terminal UI (Ink/React)
├── core/
│   ├── comparator.ts   # SSIM + pixelmatch + heatmap
│   ├── analyzer.ts     # Diff classification + strategy
│   ├── renderer.ts     # Playwright screenshot engine
│   ├── patcher.ts      # Code generation + patching
│   ├── context.ts      # Project tech stack detection
│   └── figma.ts        # Figma URL parsing + API export + design spec extraction
├── llm/
│   ├── client.ts       # Anthropic SDK wrapper
│   └── prompts.ts      # Prompt engineering
├── config/
│   ├── schema.ts       # Zod validation
│   ├── loader.ts       # Config loading (file + env + CLI)
│   └── defaults.ts     # Default configuration
└── types.ts            # Shared type definitions
```

---

## Alternatives & Comparison

How does imugi compare to other design-to-code tools?

| Feature | imugi | Anima | Locofy | Screenshot-to-Code | Vercel v0 |
|---------|-------|-------|--------|---------------------|-----------|
| **Visual verification** | SSIM + pixel diff + heatmap + crop pairs + DOM styles | None | None | None | None |
| **Design spec diff** | Figma API → exact CSS comparison (design=42px vs code=48px) | None | None | None | None |
| **Automated iteration** | Boulder Loop (capture → compare → patch → repeat) | Single pass | Single pass | Single pass | Single pass |
| **MCP server** | Native MCP for Claude Code / Cursor | No | No | No | No |
| **Open source** | MIT | No | No | Yes | No |
| **Additional API key** | Not needed in MCP mode | Required | Required | Required | Required |
| **Figma integration** | Direct URL export | Plugin | Plugin | No | No |
| **Framework detection** | Auto (React, Vue, Svelte, Next.js) | Manual | Manual | Limited | Auto |
| **Pricing** | Free | Paid | Paid | Free (self-host) | Freemium |

imugi is the only tool that measures design-to-code fidelity with an objective score and automatically iterates until the code matches the design. Other tools generate code in a single pass with no verification step.

---

## Star History

If imugi helped you skip the manual CSS grind, consider giving it a star.

[](https://star-history.com/#M00N7682/imugi&Date)

---

## Development

```bash
git clone https://github.com/M00N7682/imugi.git
cd imugi
npm install
npm run build
npm test
```

See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

---

## License

[MIT](LICENSE)

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [M00N7682](https://github.com/M00N7682)
- **Source:** [M00N7682/imugi](https://github.com/M00N7682/imugi)
- **License:** MIT
- **Homepage:** https://imugi-docs.vercel.app

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-m00n7682-imugi
- Seller: https://agentstack.voostack.com/s/m00n7682
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.