About Meshy AI MCP Server
Meshy AI MCP Server is an MCP server published by pasie15 in the Developer Tools category: this is a Model Context Protocol (MCP) server for interacting with the Meshy AI API. It provides tools for generating 3D models from text and images, applying textures, and remeshing models. It has been installed 0 times through Conduid.
The repository has 20 stars and 8 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx meshy-ai-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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.
- Multi-Image-to-3D: Create 3D models from multiple reference images.
- Text-to-Texture: Apply textures to existing models using text prompts.
- Retexture: Apply new textures to existing 3D models.
- Text-to-Image: Generate images from text prompts.
- Image-to-Image: Generate new images from input images.
- 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.
- Task Deletion: Delete tasks across all API categories.
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:
-
Clone the repository:
git clone <repository-url> cd meshy-ai-mcp-server -
Install dependencies:
npm install -
Build the project:
npm run build -
Configure your MCP Client:
Add the following to your MCP client configuration (e.g.,
claude_desktop_config.jsonor 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.
- Get your API key from the Meshy Dashboard.
- Set the
MESHY_API_KEYenvironment 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:300000aka 5 minutes).
Troubleshooting
If your MCP client reports that the server closed during initialize, check that the client configuration passes MESHY_API_KEY into the server process. The server can start without the key so clients can inspect available tools, but Meshy API tool calls will fail until the key is configured.
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,delete_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,delete_image_to_3d_task - 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,delete_multi_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,delete_text_to_texture_task - Retexture:
create_retexture_task,retrieve_retexture_task,list_retexture_tasks,stream_retexture_task,delete_retexture_task - Text to Image:
create_text_to_image_task,retrieve_text_to_image_task,list_text_to_image_tasks,stream_text_to_image_task,delete_text_to_image_task - Image to Image:
create_image_to_image_task,retrieve_image_to_image_task,list_image_to_image_tasks,stream_image_to_image_task,delete_image_to_image_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
License
MIT
README mirrored from the source repository 3 days ago. The original is authoritative.