Thingiverse MCP Server

Thingiverse MCP Server

A Model Context Protocol server that allows AI assistants to search for, explore, and retrieve 3D printable models from Thingiverse.

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Thingiverse MCP Server

A Model Context Protocol (MCP) server that provides tools for interacting with the Thingiverse API, allowing AI assistants to search for, explore, and retrieve 3D printable models.

TypeScript Node.js

🌟 Overview

This MCP server wraps the Thingiverse API using Puppeteer to create a reliable interface that can be used by AI assistants. It provides tools to:

  • Search for 3D printable models
  • Get random 3D models
  • Browse categories
  • Get models from specific categories

🚀 Features

  • 🔍 Model Search: Search Thingiverse's database of 3D printable models using keywords
  • 🗂️ Category Browsing: Explore models by categories
  • 🎲 Random Models: Discover random 3D models from Thingiverse
  • 🌐 Complete API Access: Get detailed information about models, including descriptions, files, images, and more
  • 🤖 AI Assistant Integration: Designed to work with AI assistants through the Model Context Protocol

📋 Prerequisites

  • Node.js (v14 or higher)
  • npm or yarn
  • Thingiverse API token

🔧 Installation

  1. Clone the repository

    git clone <repository-url>
    cd thingiverse-mcp
    
  2. Install dependencies

    npm install
    
  3. Set up environment variables

    # Create development environment file
    cp .env.example .env.development
    # Create production environment file
    cp .env.example .env.production
    
  4. Configure API token

    • Get a Thingiverse App Token from the Thingiverse Developer Portal
    • Add your token to both .env.development and .env.production files:
      APP_TOKEN=your_api_token_here
      

🎮 Usage

Development Mode

npm run dev

This starts the MCP server in development mode with hot reload.

Production Mode

npm run build
npm start

Or use the shorthand:

npm run prod

🔗 Integrating with Claude Desktop

To add this MCP server to Claude Desktop and enable Thingiverse browsing capabilities:

  1. Start the MCP server Make sure your server is running locally or on a remote host that Claude Desktop can access.

  2. Open Claude Desktop settings

    • Launch Claude Desktop
    • Click on your profile picture or icon in the top right
    • Select "Settings" from the dropdown menu
  3. Navigate to Extensions settings

    • In the Settings sidebar, click on "Extensions"
    • Select "Add Custom MCP"

4.1 Configure the MCP connection

  • Name: Thingiverse MCP (or any name you prefer)
  • URL: Enter the URL where your MCP server is running (e.g., http://localhost:3000 for local development)
  • Click "Add MCP"

4.2 Alternative Configure the MCP connection

  • You first need to build the project and provide your full path C:/.../Thingiverse/dist/index.js
"thingiverse": {
   "command": "node",
   "args": [
     "YOUR_CUSTOM_PATH/Thingiverse/dist/index.js"
   ]
 }
  1. Enable the MCP

    • Toggle the switch next to your newly added Thingiverse MCP to enable it
    • Claude Desktop will attempt to connect to your MCP server
  2. Verify connection

    • Start a new conversation with Claude
    • Type "Can you help me find some 3D models on Thingiverse?"
    • Claude should now be able to use the Thingiverse tools to search and browse models
  3. Troubleshooting

    • If Claude cannot connect to your MCP server, check that:
      • The server is running and accessible from Claude Desktop
      • The correct URL is configured in Claude Desktop settings
      • Your API token is valid and properly configured in the server

Usage Examples with Claude

Once connected, you can ask Claude to:

  • "Find me some 3D printable smartphone stands on Thingiverse"
  • "Show me some popular 3D models in the gadgets category"
  • "Get me a random 3D model from Thingiverse"
  • "What categories of 3D models are available on Thingiverse?"

🧠 Available Tools

The server exposes several tools that can be used by AI assistants:

get-things

Searches for 3D models based on a search term.

Parameters:

  • term: Search term (required)
  • categoryId: Optional category ID to narrow down search

get-random-thing

Retrieves random 3D models from Thingiverse.

get-categories

Fetches all available categories from Thingiverse.

get-random-thing-from-category

Gets random 3D models from a specific category.

Parameters:

  • categorySlug: Category slug (required)

🔍 How It Works

The server uses Puppeteer with Stealth plugin to interact with the Thingiverse API. This approach:

  1. Handles authentication via API tokens
  2. Makes requests to various Thingiverse endpoints
  3. Parses and returns the data in a structured format
  4. Exposes endpoints as MCP tools that can be called by AI assistants

🛠️ Project Structure

src/
  ├── class/
  │   └── thingiverser.class.ts    # Main Puppeteer client for Thingiverse API
  ├── endpoints/
  │   ├── getCategories.ts         # Get all categories
  │   ├── getRandomThing.ts        # Get random things
  │   ├── getThings.ts             # Search for things
  │   └── getThingsFromCategory.ts # Get things from a category
  ├── types/
  │   ├── category.d.ts            # Type definitions for categories
  │   ├── files.d.ts               # Type definitions for files
  │   └── things.d.ts              # Type definitions for things
  └── index.ts                     # Entry point and MCP server setup

⚙️ Development

Environment Configuration

The server uses different environment files for development and production:

  • .env.development - Used when running in development mode
  • .env.production - Used when running in production mode

Testing

Run the test suite with:

npm test

Linting and Formatting

# Run ESLint
npm run lint

# Fix ESLint errors
npm run lint:fix

# Format code with Prettier
npm run format

📝 Notes for Deployment

When deploying to production:

  1. Ensure your .env.production file contains a valid Thingiverse API token
  2. The build process will embed this token in the compiled code
  3. Use npm run prod to build and start the production server

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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