Meshy AI MCP Server
pasie15/meshy-ai-mcp-server · 44 stars · JavaScript
MCP server 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.
Install
The repo has no one-line install. Follow its README.
Files
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.
- Retexture: Apply new textures to existing 3D models. The text-to-texture tools are compatibility aliases for the same retexture API.
- 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 - 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,delete_text_to_texture_task— same retexture API, historical tool names kept for compatibility. - 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
Facts
- Kind
- MCP server
- Group
- Uncategorized
- Stars
- 44
- Language
- JavaScript
- Last push
- 2026-08-18
- Forks
- 10
- Homepage
- meshy.ai
- 1REAio.github.morluto/reaReverse engineer anything from your terminal or agent with one CLI and MCP server.125.3k
- 2com.browser-use/browser-usecom.browser-use/browser-useControl a real Chrome browser to complete any task: fill forms, extract data, book flights.117.7k
- 3World Monitorapp.worldmonitor/mcpLive markets, conflicts, country risk, chokepoints, energy, and China decision signals. 93 tools.88.3k
- 4Scrapling MCP Serverd4vinci/scrapling🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scraplingdev86.9k
- 5Everythingmodelcontextprotocol/serversThis MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.85.8k
- 6Fetchmodelcontextprotocol/serversA Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.85.8k