About Tripo MCP Server
Tripo MCP Server is the official MCP server for Tripo AI, currently in alpha. It lets AI assistants generate 3D assets from natural language and import them into Blender, supporting only the Tripo Blender Addon integration for now.
Key features
- 01Generate 3D assets from natural language
- 02Import generated models into Blender
- 03Works with Claude and other MCP-enabled assistants
- 04Runs the tripo-mcp package via uvx
Use cases
- 01Creating 3D models in Blender through chat
- 02Adding 3D generation to Claude Desktop or Cursor
MCP support
This is an MCP server that exposes Tripo's 3D generation capability to MCP clients such as Claude Desktop and Cursor.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
15Saved tool list · updated 3w ago
This tool takes no parameters.
Details
From the project READMETripo MCP Server
Tripo MCP provides an interface between AI assistants and Tripo AI via Model Context Protocol (MCP).
Note: This project is in alpha. Currently, it supports Tripo Blender Addon integration.
Current Features
- Generate 3D asset from natural language using Tripo's API and import to Blender
- Compatible with Claude and other MCP-enabled AI assistants
Quick Start
Prerequisites
- Python 3.10+
- Blender
- Tripo AI Blender Addon
- Claude for Desktop or Cursor IDE
Installation
-
Install Tripo AI Blender Addon from Tripo AI's website
-
Configure the MCP server in Claude Desktop or Cursor.
pip install uv- set mcp in cursor
{ "mcpServers": { "tripo-mcp": { "command": "uvx", "args": [ "tripo-mcp" ] } } }- Then you will get a green dot like this:

Usage
-
Enable Tripo AI Blender Addon and start blender mcp server.
-
Chat using cursor or claude. E.g., "Generate a 3D model of a futuristic chair".
Acknowledgements
Special Thanks
Special thanks to Siddharth Ahuja for the blender-mcp project, which provided inspiring ideas for MCP + 3D.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.