io.github.vedangvatsa123/cvinbio

Official registry Data and databases

Search professional profiles from the CVin.Bio talent database.

What can you do with io.github.vedangvatsa123/cvinbio?

  • 📄 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.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @cvinbio/mcp-server
Claude Code
claude mcp add cvinbio -e 'SUPABASE_URL=<SUPABASE_URL>' -e 'SUPABASE_KEY=<your supabase_key>' -- npx -y @cvinbio/mcp-server@1.0.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "cvinbio": {
            "command": "npx",
            "args": [
                "-y",
                "@cvinbio/mcp-server@1.0.0"
            ],
            "env": {
                "SUPABASE_URL": "<SUPABASE_URL>",
                "SUPABASE_KEY": "<your supabase_key>"
            }
        }
    }
}

Environment variables

  • SUPABASE_URL required Supabase project URL
  • SUPABASE_KEY required secret Supabase service role key

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. CVin.Bio
  2. 🚀 Key Features
  3. 🛠️ Tech Stack
  4. 📁 Project Structure
  5. 🏗️ Getting Started Locally

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

📁 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.

Frequently asked questions

What is io.github.vedangvatsa123/cvinbio?

Search professional profiles from the CVin.Bio talent database.

How do I install io.github.vedangvatsa123/cvinbio?

It runs on your machine. In Claude Code: claude mcp add cvinbio -e 'SUPABASE_URL=<SUPABASE_URL>' -e 'SUPABASE_KEY=<your supabase_key>' -- npx -y @cvinbio/mcp-server@1.0.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.vedangvatsa123/cvinbio need an API key?

Yes. It expects SUPABASE_URL, SUPABASE_KEY, which you set in its configuration.

Is io.github.vedangvatsa123/cvinbio open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.vedangvatsa123/cvinbio?

It is published by vedangvatsa123. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.