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loupe-intelligence

v1.1.1

Published

Loupe Intelligence — MCP server for AI-powered Figma sync

Readme

🔍 Loupe MCP Server

The AI backend for the Loupe Chrome extension. Handles Claude API calls, tool execution, rate limiting, and license validation.

Stack

  • Node.js + Express
  • Claude API via @anthropic-ai/sdk
  • MCP Tools — analyze, test generation, accessibility audit, docs, improvements
  • Rate limiting — free (10/hr) and pro (200/hr) tiers

Local Setup

# 1. Install dependencies
npm install

# 2. Add your API key
cp .env.example .env
# Edit .env and paste your Anthropic API key

# 3. Start the server
npm run dev

Server runs at http://localhost:3000

Test it:

curl http://localhost:3000/health

Deploy to Railway

  1. Push this folder to a GitHub repo
  2. Go to railway.app → New Project → Deploy from GitHub
  3. Select your repo
  4. Add environment variable: ANTHROPIC_API_KEY=sk-ant-...
  5. Railway auto-detects Node.js and deploys

Your server URL will be something like: https://loupe-mcp-server-production.up.railway.app

Paste that URL into the extension's config.js.


Deploy to Render

  1. Push to GitHub
  2. Go to render.com → New → Web Service
  3. Connect your repo
  4. Build command: npm install
  5. Start command: npm start
  6. Add env var: ANTHROPIC_API_KEY

API Reference

POST /api/ask

Main endpoint. Accepts a prompt + elements, returns Claude's response.

Headers:

  • Content-Type: application/json
  • X-License-Key: pro_xxx (optional, unlocks Pro tier)

Body:

{
  "prompt": "..the full structured prompt from the extension..",
  "elements": [...],
  "action": "analyze | audit_accessibility | generate_tests | generate_documentation | suggest_improvements",
  "options": {}
}

Response:

{
  "requestId": "uuid",
  "result": "Markdown response from Claude",
  "toolUsed": "analyze_elements",
  "tier": "free | pro",
  "usage": { "inputTokens": 412, "outputTokens": 380 }
}

POST /api/ask/stream (Pro only)

Same as above but streams response as SSE.

GET /health

Returns server status.


Adding Lemon Squeezy License Validation

  1. Create a product at lemonsqueezy.com
  2. Get your API key and store ID
  3. Add to .env
  4. Replace the validateLicense() stub in server.js with a real API call:
async function validateLicense(key) {
  if (!key) return { valid: false, tier: 'free' };
  const res = await fetch('https://api.lemonsqueezy.com/v1/licenses/validate', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.LEMONSQUEEZY_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({ license_key: key })
  });
  const data = await res.json();
  return data.valid
    ? { valid: true, tier: 'pro' }
    : { valid: false, tier: 'free' };
}

MCP Tools Available

| Tool | Description | Tier | |------|-------------|------| | analyze_elements | General element analysis | Free + Pro | | audit_accessibility | WCAG A/AA/AAA audit | Free + Pro | | suggest_improvements | UX + code improvements | Free + Pro | | generate_tests | Playwright/Cypress/Selenium tests | Pro | | generate_documentation | Markdown/JSDoc/Storybook docs | Pro |