Cvinbio MCP server

CVin.Bio

CVin.Bio generates web profiles from CV documents using AI. Users upload their CVs, and the application extracts and routes the structured data into an editable profile hosted at a custom URL.

🚀 Key Features

• 📄 AI CV Parsing: Upload a CV; the backend uses data extraction (pdf-parse) to categorize and store the user's personal information, work history, education, and skills.
• 🎨 Structural Rendering: Generates a consistent, monochrome profile mapping without relying on manual themes.
• ⚡ OpenGraph Edge Generation: Next.js uses the Edge Runtime (Satori) to automatically generate dynamic 1200x630 PNG social previews mapping the user's routing URL and avatar metrics.
• 🔐 Supabase Integration: Connects to PostgreSQL using Row Level Security (RLS) and GoTrue Auth to persist user edits.
• ✏️ Data Editor: A client-facing configuration dashboard to mutate work summaries, upload new media, and re-order data arrays.

🛠️ Tech Stack

• Framework: Next.js 15 (App Router, Server Components)
• Language: TypeScript
• UI & Styling: Tailwind CSS v3 & Shadcn UI
• Backend & Database: Supabase (PostgreSQL & Auth)
• Image Generation: Next/OG

📁 Project Structure

/
├── src/
│   ├── app/
│   │   ├── [slug]/                   # Public Candidate Profile routes
│   │   │   ├── page.tsx              # Clean Server Component fetching public profiles
│   │   │   └── opengraph-image.tsx   # Edge rendering script natively drawing the SVG/PNG previews
│   │   ├── editor/                   # Authorized CV editing interface
│   │   ├── api/parse-resume/         # Local algorithmic RegEx parsing route
│   │   ├── opengraph-image.tsx       # Root landing page dynamic fallback preview
│   │   ├── page.tsx                  # Primary Landing interface
│   │   └── layout.tsx                # Symmetrical Universal UI boundaries
│   │
│   ├── components/                   # Shadcn UI atoms and universal Header elements
│   ├── lib/                          # Server utilities (Supabase Admin, Heuristics arrays)
│   ├── utils/                        # Client-side Supabase Browser constructors
│   └── types/                        # Strict universal TypeScript interfaces
│
├── docs/                             
│   └── design_guidelines.md          # Internal Brand identity and AI Prompts rules
└── ...

🏗️ Getting Started Locally

To run CVin.Bio perfectly locally, you will strictly only need a Supabase Database instance.

1. Install Dependencies:

npm install

Create a new .env.local file strictly mapping your keys into the repository root:

1. Environment Variables:

NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
    NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
    NEXT_PUBLIC_SITE_URL=http://localhost:3000

1. Boot Development Server:

npm run dev

The application strictly renders natively on http://localhost:3000.

Built with strict mathematical geometry and aggressive minimalism.