Model Context Protocol (MCP) server for the Meshy AI 3D generation platform. Enables AI agents to create, manage, and download 3D models, textures, images, rigged characters, and animations through natural conversation.

19 tools covering the full Meshy API:

• Text to 3D: Generate 3D models from text descriptions (preview + refine pipeline)
• Image to 3D: Convert single or multiple images into 3D models
• Auto-Rigging & Animation: Add skeletons and animations to humanoid characters
• Multi-Color 3D Printing: Process textured models into multi-color 3MF files for 3D printing
• Slicer Integration: Auto-detect installed slicer software and open models directly
• Print-Ready OBJ: Built-in coordinate transformation (Y-up → Z-up) for 3D printing
• Smart File Organization: Auto-saves to meshy_output/ with project folders, metadata, and history tracking
• Built-in Workflow Intelligence: Server instructions guide the agent through correct tool chains for each use case

• Node.js >= 18
• A Meshy API key (get one here — requires Pro plan or above)

claude mcp add meshy -- npx -y @meshy-ai/meshy-mcp-server -e MESHY_API_KEY=msy_YOUR_API_KEY

That's it. The server includes built-in workflow instructions — no additional configuration needed.

Add to your Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "meshy": {
      "command": "npx",
      "args": ["-y", "@meshy-ai/meshy-mcp-server"],
      "env": {
        "MESHY_API_KEY": "msy_YOUR_API_KEY"
      }
    }
  }
}

# Clone and install
git clone https://github.com/meshy-dev/meshy-mcp-server.git
cd meshy-mcp-server
npm install

# Development with hot reload
npm run dev

# Build
npm run build

# Type check
npm run lint

# Run
npm start

For remote access, run in HTTP mode:

TRANSPORT=http PORT=3000 npm start

Endpoints:

• POST /mcp — MCP protocol endpoint
• GET /health — Health check

MIT