mcpField
C

cvinbio

Local
github.com/vedangvatsa123Business & Marketing0Updated today
Repository

About cvinbio

CVin.Bio turns CV documents into editable online profiles for people who want to publish their professional history. Profiles use a consistent layout and can be hosted at custom URLs.

Key features

  1. 01AI CV parsing and field categorization
  2. 02Editable professional profiles
  3. 03Public profiles at custom URLs
  4. 04Automatic social preview images

Use cases

  1. 01Turn a CV into an online profile
  2. 02Update work history, media, and content order

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "vedangvatsa123-cvinbio": {
      "command": "npx",
      "args": [
        "-y",
        "@cvinbio/mcp-server"
      ],
      "env": {
        "SUPABASE_URL": "<SUPABASE_URL>",
        "SUPABASE_KEY": "<SUPABASE_KEY>"
      }
    }
  }
}
Run commandnpx -y @cvinbio/mcp-server
Environment variables to set
SUPABASE_URLSupabase project URL
SUPABASE_KEYSecretSupabase service role key

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@cvinbio/mcp-server1.0.0

Tools

2

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
limitnumberNoNumber of results to return (1-20, default 10).
querystringYesSearch term: a skill (e.g. 'React'), location (e.g. 'London'), job title (e.g. 'Product Manager'), or any keyword.

Details

From the project README

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.

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