StyleTrace
# StyleTrace
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StyleTrace is an MCP server that analyzes references and returns a prompt-ready design brief for agents and reviewers. One use case is helping developers build websites without getting distracted by design decisions, then review generated output against the original style constraints.

Additional example using the same references with and without StyleTrace in the review flow:

## Why Use It
- turn a few reference pages, screenshots, or HTML snippets into a prompt-ready design brief an agent can actually use
- make website regeneration less generic by preserving the parts that feel distinctive
- review generated HTML or screenshots against the extracted style constraints instead of relying on vague visual judgment
- analyze only the exact URLs you give it, so the result stays predictable and reviewable
## Installation
Requirements:
- Node.js `>=20`
- Playwright Chromium
Install from npm:
```bash
npm install -g @agenticbridge/style-trace
npx playwright install chromium
```
Or run from a local clone:
```bash
npm install
npx playwright install chromium
npm run build
```
## Usage
Connect it from your MCP client.
Published package:
```json
{
"mcpServers": {
"style-trace": {
"command": "npx",
"args": ["-y", "@agenticbridge/style-trace"]
}
}
}
```
Local clone:
```json
{
"mcpServers": {
"style-trace": {
"command": "node",
"args": ["/absolute/path/to/style-trace/dist/src/index.js"]
}
}
}
```
The server exposes two tools:
- `analyze_website_style`
- `review_generated_style`
`analyze_website_style` accepts exact website URLs:
```json
{
"urls": ["https://www.apple.com", "https://www.framer.com"],
"targetArtifact": "landing-page",
"fidelity": "high"
}
```
It also accepts mixed references:
```json
{
"references": [
{ "type": "url", "value": "https://www.apple.com/iphone/" },
{ "type": "image", "value": "https://example-cdn.com/reference/hero-shot.png" },
{ "type": "screenshot", "value": "https://example-cdn.com/reference/hero-capture.png" },
{ "type": "html", "value": "<main><section><h1>Hero</h1></section></main>" }
],
"targetArtifact": "prototype",
"fidelity": "medium",
"designIntent": "preserve the hero hierarchy and chrome discipline",
"evidenceMode": "inline"
}
```
`urls` remains supported for website-only input. Use `references` when you want to mix website, image, screenshot, and bounded HTML sources in one request.
The result now includes prompt-ready fields such as `visualVocabulary`, `styleInvariants`, `styleRisks`, `softGuesses`, `compositionBlueprint`, `variationAxes`, `blendModes`, `promptReadyBrief`, `reviewContract`, and `originalityBoundary`.
`review_generated_style` checks generated HTML or a generated image URL against a StyleTrace result:
```json
{
"styleResult": { "...": "StyleTrace analyze_website_style output" },
"generatedHtml": "<!doctype html><html>...</html>",
"viewportWidth": 1440,
"viewportHeight": 900
}
```
It returns matched invariants, violated constraints, drift notes, and review confidence.
## How It Works
`analyze_website_style` visits exactly the public website URLs you provide with Playwright, and it can also analyze direct public image URLs, screenshot references, and bounded HTML snippets. It extracts narrow, reviewable signals such as module structure, hero treatment, CTA patterns, proof modules, imagery, forms, breakpoints, and signature motifs, then compiles them into a prompt-ready design brief with hard constraints, drift risks, composition structure, and review checks. It does not crawl additional pages, and it does not try to invent a new design system or make speculative recommendations.
`review_generated_style` runs the generated artifact back through the same lens and compares it to the extracted style contract. The goal is to make style review explicit: what matched, what drifted, and what likely became generic.
## Limits
- public `http` and `https` URLs only
- image and screenshot references must point to direct public image assets such as `.png`, `.jpg`, `.webp`, `.gif`, `.avif`, or `.svg`
- HTML references are bounded snippets, not full browsing sessions
- image-only or screenshot-only references produce weaker inference for typography, navigation, forms, motion, and breakpoints than live website references
- no auth flows or private-network targets
- stdio transport only
- no persistence, queueing, or web UI
## Contributing and Testing
Run the local checks:
```bash
npm run typecheck
npm run build
npm test
```
For a real MCP transport smoke test:
```bash
npm run test:mcp-cli
```
For the full review artifact flow with source captures, `with MCP` vs `without MCP` LLM regeneration, and a composite diff board:
built-in comparison set:
```bash
npm run test:e2e -- --instance apple-pixel-samsung
npm run test:e2e -- --instance figma-framer-webflow
```
Or run it against your own public URLs:
```bash
bash scripts/test-mcp-cli.sh https://www.apple.com https://www.framer.com
```
## License
MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one extracts design grammar from references, the other verifies generated output against an extracted style. There is no overlap or ambiguity between them.
Both tool names follow the same verb_noun pattern in snake_case: 'analyze_website_style' and 'review_generated_style'. The naming is consistent and predictable.
With only 2 tools, the set is on the thin side. For a server focused on style analysis and review, this minimal set covers the core workflow but feels slightly sparse compared to typical servers.
The two tools provide a complete lifecycle for the intended domain: analyze a style from references, then review generated output against that style. There are no obvious gaps in the stated workflow.