meshy-ai-mcp-server

pasie15/meshy-ai-mcp-server

3.4

If you are the rightful owner of meshy-ai-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

Meshy AI MCP Server is a Model Context Protocol server designed to interact with the Meshy AI API, enabling the generation and manipulation of 3D models from text and images.

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.

Features

  • Text-to-3D: Generate 3D models from text prompts.
  • Image-to-3D: Create 3D models from reference images.
  • Text-to-Texture: Apply textures to existing models using text prompts.
  • Model Optimization: Remesh and optimize geometry.
  • Rigging: Auto-rig 3D characters for animation.
  • Animation: Apply animations to rigged characters.
  • Streaming: Real-time progress updates for long-running tasks.

Installation

Option 1: Run directly with npx (Recommended)

You can run the server directly using npx without installing it globally.

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

Option 2: Clone and Build Locally

If you want to modify the code or run it from a local source:

  1. Clone the repository:

    git clone <repository-url>
    cd meshy-ai-mcp-server
    
  2. Install dependencies:

    npm install
    
  3. Build the project:

    npm run build
    
  4. Configure your MCP Client:

    Add the following to your MCP client configuration (e.g., claude_desktop_config.json or VS Code settings):

    {
      "mcpServers": {
        "meshy-ai": {
          "command": "node",
          "args": [
            "/absolute/path/to/meshy-ai-mcp-server/dist/index.js"
          ],
          "env": {
            "MESHY_API_KEY": "your_meshy_api_key_here"
          }
        }
      }
    }
    

Configuration

You need a Meshy AI API key to use this server.

  1. Get your API key from the Meshy Dashboard.
  2. Set the MESHY_API_KEY environment variable in your MCP client configuration (as shown above).

Optional Environment Variables

  • MESHY_API_BASE: Override the API base URL (default: https://api.meshy.ai/openapi).
  • MESHY_STREAM_TIMEOUT_MS: Timeout for streaming responses in milliseconds (default: 300000 aka 5 minutes).

Development

To run the server in development mode with auto-reloading:

# Create a .env file
echo "MESHY_API_KEY=your_key_here" > .env

# Run in dev mode
npm run dev

Available Tools

  • Text to 3D: create_text_to_3d_task, retrieve_text_to_3d_task, list_text_to_3d_tasks, stream_text_to_3d_task
  • Image to 3D: create_image_to_3d_task, retrieve_image_to_3d_task, list_image_to_3d_tasks, stream_image_to_3d_task
  • Texturing: 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
  • Rigging: create_rigging_task, retrieve_rigging_task, list_rigging_tasks, stream_rigging_task
  • Animation: create_animation_task, retrieve_animation_task, list_animation_tasks, stream_animation_task
  • Utility: get_balance

License

MIT