@iflow-mcp/meshy-dev-meshy-mcp-server
v0.2.1
Published
MCP server for Meshy AI 3D generation platform
Readme
Meshy MCP Server
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.
Features
19 tools covering the full Meshy API:
| Category | Tools |
|----------|-------|
| 3D Generation | meshy_text_to_3d, meshy_text_to_3d_refine, meshy_image_to_3d, meshy_multi_image_to_3d |
| Post-Processing | meshy_remesh, meshy_retexture, meshy_rig, meshy_animate |
| Image Generation | meshy_text_to_image, meshy_image_to_image |
| Task Management | meshy_get_task_status, meshy_list_tasks, meshy_cancel_task, meshy_download_model |
| Workspace | meshy_list_models |
| 3D Printing | meshy_send_to_slicer, meshy_analyze_printability, meshy_process_multicolor |
| Account | meshy_check_balance |
Key Capabilities
- 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
Quick Start
Prerequisites
- Node.js >= 18
- A Meshy API key (get one here — requires Pro plan or above)
Claude Code
claude mcp add meshy -- npx -y @meshy-ai/meshy-mcp-server -e MESHY_API_KEY=msy_YOUR_API_KEYThat's it. The server includes built-in workflow instructions — no additional configuration needed.
Cursor
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"
}
}
}
}Configuration
| Environment Variable | Description | Default |
|---------------------|-------------|---------|
| MESHY_API_KEY | Required. Your Meshy API key (starts with msy_) | — |
| MESHY_API_HOST | API base URL | https://api.meshy.ai |
| TRANSPORT | Transport mode: stdio or http | stdio |
| PORT | Port for HTTP transport | 3000 |
| CHARACTER_LIMIT | Max response size in characters | 25000 |
Development
# 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 startHTTP Transport
For remote access, run in HTTP mode:
TRANSPORT=http PORT=3000 npm startEndpoints:
POST /mcp— MCP protocol endpointGET /health— Health check
