Materio MCP Server

An MCP (Model Context Protocol) server that enables AI assistants like Claude, ChatGPT, and others to directly search and read Materio's educational PDF resources — no manual file uploads needed.

When a user asks @materio about a topic, the AI can use this server to:

• 📚 Browse all available semesters, subjects, and resources

• 🔍 Search for specific topics, chapters, question banks, and more

• 📄 Read full PDF content and answer questions using the material's own terminology

• 🔗 Get URLs to share or reference specific PDFs

How It Works

User → AI Assistant → MCP Server → Materio CDN → PDFs
                          ↓
                   Resource Library
                   (resource.lib.json)

1. The server fetches Materio's resource library from cdn-materioa.vercel.app

2. It indexes all semesters, subjects, categories, and topics

3. When the AI needs a PDF, it fetches it from the CDN and extracts the text

4. The AI uses the extracted text to answer questions with proper terminology

Related MCP server: PDF Reader MCP Server

Available Tools

Deployment Options

Option 1: Deploy to Vercel (Remote — for ChatGPT, remote Claude, etc.)

Quick Deploy

cd materio-mcp-server
npx vercel

Or link to your Vercel account and deploy:

npx vercel --prod

What Gets Deployed

• Endpoint: https://your-project.vercel.app/mcp (POST for MCP, GET for health check)

• Transport: Streamable HTTP (stateless JSON-RPC)

• Function: api/mcp.js — 60s timeout, 1GB memory

Using the Deployed Server

Once deployed, configure your AI client with the remote URL:

Claude Desktop (remote MCP):

{
  "mcpServers": {
    "materio": {
      "url": "https://your-project.vercel.app/mcp"
    }
  }
}

ChatGPT (Custom GPT / Actions): Use the endpoint URL https://your-project.vercel.app/mcp as the MCP server URL in your GPT configuration.

Health Check:

curl https://your-project.vercel.app/mcp

Option 2: Run Locally (stdio — for Claude Desktop)

Install

cd materio-mcp-server
npm install

Configure Claude Desktop

Add to %APPDATA%\Claude\claude_desktop_config.json (Windows) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{
  "mcpServers": {
    "materio": {
      "command": "node",
      "args": ["D:\\v4\\materio\\materio-mcp-server\\index.js"]
    }
  }
}

⚠️ Update the path to match your system.

Then restart Claude Desktop.

Usage Examples

Once configured, you can ask your AI assistant things like:

• "What subjects are available in semester 4?"

• "Find me notes on Deadlocks in Operating System"

• "Read the Laplace Transform chapter from Maths-2 and explain the key concepts for exams"

• "Get me the question bank for DBMS"

• "What topics are covered in Object Oriented Programming with Java?"

• "Read the Inheritance chapter and create a study guide covering all exam-relevant points"

Project Structure

materio-mcp-server/
├── server.js         # Shared core — all tools, utilities, server factory
├── index.js          # Local entry point (stdio transport)
├── api/
│   └── mcp.js        # Vercel entry point (HTTP transport)
├── vercel.json       # Vercel deployment config
├── package.json      # Dependencies and metadata
└── README.md         # This file

Technical Details

• Runtime: Node.js ≥ 18

• Transport: stdio (local) / Streamable HTTP (Vercel)

• CDN: https://cdn-materioa.vercel.app

• Resource Library: Fetched from CDN and cached for 5 minutes

• PDF Parsing: Uses pdf-parse to extract text from PDFs

• Character Limit: PDF text output is capped at 80,000 characters

• Vercel Function: 60s timeout, 1GB memory (for large PDF parsing)

License

MIT — © 2024-2026, Materio by JTC.