Meshy AI MCP
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.
What is Meshy AI MCP?
Meshy AI MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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.
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.
This server falls under the APIs and Data Science & ML categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This is a Model Context Protocol (MCP) server for interactin
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx meshy-aiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Meshy AI MCP
Meshy AI MCP Server wraps the Meshy AI API as a set of MCP tools, enabling AI assistants to generate 3D models from text prompts or reference images, apply textures to existing models, remesh geometry, auto-rig characters, and apply animations — all through natural language. It supports real-time streaming progress updates for long-running generation tasks and covers the full Meshy workflow from ideation to animation-ready 3D assets.
Prerequisites
- Node.js (for running via npx) or npm installed
- A Meshy AI account and API key — obtain one at https://app.meshy.ai/settings/api
- An MCP-compatible client such as Claude Desktop, Cursor, or Cline
Get your Meshy API key
Log in to the Meshy dashboard, navigate to Settings > API, and copy your API key. You will need this in the next step.
# Visit: https://app.meshy.ai/settings/apiAdd the server to your MCP client configuration
Add the meshy-ai entry to your MCP client's config file. The server runs via npx without any local installation required.
{
"mcpServers": {
"meshy-ai": {
"command": "npx",
"args": ["-y", "meshy-ai-mcp-server"],
"env": {
"MESHY_API_KEY": "your_meshy_api_key_here"
}
}
}
}Restart your MCP client
Restart Claude Desktop or your chosen MCP client to load the new server configuration. Meshy tools will now appear as available capabilities.
Verify with a simple text-to-3D request
Ask your AI assistant to create a 3D model from a text prompt to confirm the Meshy API key is valid and the server is connected.
(Optional) Override API base URL or streaming timeout
If you need to point to a different API endpoint or extend the default 5-minute streaming timeout for very large models, set these optional environment variables in your config.
{
"mcpServers": {
"meshy-ai": {
"command": "npx",
"args": ["-y", "meshy-ai-mcp-server"],
"env": {
"MESHY_API_KEY": "your_meshy_api_key_here",
"MESHY_API_BASE": "https://api.meshy.ai/openapi",
"MESHY_STREAM_TIMEOUT_MS": "600000"
}
}
}
}Meshy AI MCP Examples
Client configuration (Claude Desktop)
Complete claude_desktop_config.json entry for the Meshy AI MCP server using npx. Only MESHY_API_KEY is required.
{
"mcpServers": {
"meshy-ai": {
"command": "npx",
"args": ["-y", "meshy-ai-mcp-server"],
"env": {
"MESHY_API_KEY": "your_meshy_api_key_here"
}
}
}
}Prompts to try
Example prompts to use with your AI assistant once the Meshy AI MCP server is connected.
- "Generate a 3D model of a wooden medieval sword with detailed handle engravings."
- "Create a 3D model from this reference image and apply a metallic texture to it."
- "Remesh the existing model task ID abc123 to reduce polygon count."
- "Auto-rig the 3D character from task ID xyz789 so it's ready for animation."
- "Check my current Meshy account balance."
- "List all my recent text-to-3D generation tasks."Troubleshooting Meshy AI MCP
MCP client reports the server closed during initialize
This usually means MESHY_API_KEY is missing from the env block. The server can start without a key, but Meshy API calls will fail. Add the MESHY_API_KEY env var to your client config and restart.
Streaming tasks time out before the 3D model is ready
Increase the timeout by setting MESHY_STREAM_TIMEOUT_MS to a higher value (e.g., 600000 for 10 minutes) in your env config. Complex text-to-3D tasks can take longer than the default 5-minute timeout.
API calls return 401 Unauthorized
Your Meshy API key may be invalid or expired. Visit https://app.meshy.ai/settings/api to regenerate your key, then update the MESHY_API_KEY value in your MCP client configuration and restart the client.
Frequently Asked Questions about Meshy AI MCP
What is Meshy AI MCP?
Meshy AI MCP is a Model Context Protocol (MCP) server that 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 connects AI assistants to external tools and data sources through a standardized interface.
How do I install Meshy AI MCP?
Follow the installation instructions on the Meshy AI MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Meshy AI MCP?
Meshy AI MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Meshy AI MCP free to use?
Yes, Meshy AI MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More APIs MCP Servers
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Quick Config Preview
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