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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
vedangvatsa123 avatar

Cvinbio

vedangvatsa123/pdftowebsite
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Summary

Connects Claude to the CVin.Bio talent database so you can search and retrieve professional profiles that users have generated from their CV uploads. The platform itself parses PDFs into structured work history, education, and skills data stored in Supabase, then hosts them at custom URLs with auto-generated OpenGraph previews. You'd reach for this when building recruiting tools, talent search interfaces, or any workflow where you need to query a pool of structured candidate profiles without manually scraping LinkedIn or parsing raw resumes. The MCP layer gives you programmatic access to that cleaned, structured dataset that's already been extracted and validated through their AI parsing pipeline.

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

    NEXT_PUBLIC_SUPABASE_URL=your_supabase_project_url
    NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
    NEXT_PUBLIC_SITE_URL=http://localhost:3000
    
  3. Boot Development Server:

    npm run dev
    

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


Built with strict mathematical geometry and aggressive minimalism.

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Configuration

SUPABASE_URL*

Supabase project URL

SUPABASE_KEY*secret

Supabase service role key

Categories
DatabasesSearch & Web Crawling
Registryactive
Package@cvinbio/mcp-server
TransportSTDIO
AuthRequired
UpdatedApr 5, 2026
View on GitHub

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