Meshy AI MCP Server

This is a Model Context Protocol (MCP) server that wraps the Meshy AI API. It enables MCP clients (like Claude Desktop, Cursor, Cline) to interact with Meshy's generative 3D tools directly.

Local serverstdioMIT

What is the Meshy AI MCP Server?

Meshy AI MCP Server is an MCP project maintained in the pasie15/meshy-ai-mcp-server repository. The maintainer describes its purpose as “This is a Model Context Protocol (MCP) server that wraps the Meshy AI API. It enables MCP clients (like Claude Desktop, Cursor, Cline) to interact…”. Read the project documentation for the complete scope.

Installation

The documented npm package is meshy-ai-mcp-server. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.

Configuration values

The example declares MESHY_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
Multi	Image to 3D: create_multi_image_to_3d_task, retrieve_multi_image_to_3d_task, list_multi_image_to_3d_tasks, stream_multi_image_to_3d_task…
Retexture	create_retexture_task, retrieve_retexture_task, list_retexture_tasks, stream_retexture_task, delete_retexture_task
Texturing	retexture aliases): create_text_to_texture_task, retrieve_text_to_texture_task, list_text_to_texture_tasks, stream_text_to_texture_task…
Remeshing	create_remesh_task, retrieve_remesh_task, list_remesh_tasks, stream_remesh_task, delete_remesh_task
Rigging	create_rigging_task, retrieve_rigging_task, list_rigging_tasks, stream_rigging_task, delete_rigging_task
Animation	create_animation_task, retrieve_animation_task, list_animation_tasks, stream_animation_task, delete_animation_task
Utility	get_balance

How to install the Meshy AI MCP Server

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

From the project documentation. Replace placeholders and example paths before connecting.