Meshy MCP Server

Meshy MCP Server

Enables AI agents to create, manage, and download 3D models, textures, images, rigged characters, and animations through natural conversation.

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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

20 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_repair_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
  • 3D Printability Suite (v0.3.0):
    • analyze_printability — free FDM check (watertight, volume, holes, non-manifold edges, degenerate faces)
    • repair_printability — 10-credit topology repair (output format mirrors input)
    • process_multicolor — 10-credit multi-color 3MF for AMS/MMU printers
  • Slicer Integration: Auto-detect 7 installed slicers (OrcaSlicer, Bambu, Creality, Elegoo, Anycubic, PrusaSlicer, Cura) and return launch commands the agent can execute
  • 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

Prerequisites

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

Installation

Pick whichever fits your workflow — they all produce the same config.

Option 1 · One-Command Install · Recommended

add-mcp auto-detects every AI client on your machine (Cursor, Claude Code, Claude Desktop, Windsurf, Codex, VS Code, Cline, …) and writes the right config to each:

npx add-mcp @meshy-ai/meshy-mcp-server --env MESHY_API_KEY=msy_YOUR_API_KEY

After it finishes, jump to Activate for your client.

Option 2 · Install by Asking Your AI Agent

Already chatting with Cursor / Claude Code / Codex? Paste this prompt:

Install the Meshy MCP server for me. Docs: https://github.com/meshy-dev/meshy-mcp-server
Use this env var: MESHY_API_KEY=msy_YOUR_API_KEY

The agent will run add-mcp (or write mcp.json directly) and tell you when it's ready. You'll still need the Activate step for your client.

Option 3 · Manual Install

<details> <summary><b>Cursor</b></summary>

Paste into .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

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

Windows: replace "command": "npx" with "command": "cmd" and "args": ["/c", "npx", "-y", "@meshy-ai/meshy-mcp-server"].

</details>

<details> <summary><b>Claude Code</b></summary>

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

</details>

<details> <summary><b>Other clients</b> (Windsurf, Claude Desktop, Codex, VS Code, Cline…)</summary>

Use Option 1add-mcp writes the correct config for each.

</details>

Activate After Install

Most clients auto-load the new server, but Cursor and VS Code require a manual toggle:

Client What to do Verify
Cursor Restart → SettingsMCP & Integrations → toggle meshy on → wait for green dot ● → open a new chat List the meshy tools available
Claude Code Nothing — auto-loads on next message /mcp shows meshy ✓ connected
Claude Desktop Quit & relaunch the app List the meshy tools available
Windsurf Refresh in the Cascade panel's MCP section List the meshy tools available
VS Code Run command MCP: List Servers → click meshyStart List the meshy tools available
Codex Nothing — auto-loads on next session List the meshy tools available

Troubleshooting

  • MESHY_API_KEY environment variable is required — the key didn't reach the server. Make sure it sits inside an "env": {...} block in your mcp.json, not in args.
  • spawn npx ENOENT (Windows) — wrap with cmd /c (see Cursor block above).
  • error: unknown option '-y' (Claude Code on Windows) — use claude mcp add-json instead of claude mcp add … -- npx -y ….
  • Cursor doesn't list meshy — make sure mcp.json is valid JSON (no trailing commas), then fully restart Cursor.
  • Tool calls return 401 — the API key is invalid or revoked. Regenerate at https://www.meshy.ai/settings/api.

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 start

HTTP Transport

For remote access, run in HTTP mode:

TRANSPORT=http PORT=3000 npm start

Endpoints:

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

License

MIT

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