MCP (Model Control Protocol) integration for Tripo
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"tripo-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Tripo MCP Server Tripo MCP provides an interface between AI assistants and [Tripo AI](https://www.tripo3d.ai) via [Model Context Protocol (MCP)](https://github.com/anthropics/anthropic-cookbook/tree/main/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](https://www.blender.org/download/) - [Tripo AI Blender Addon](https://www.tripo3d.ai/app/home) - Claude for Desktop or Cursor IDE ### Installation 1. Install Tripo AI Blender Addon from [Tripo AI's website](https://www.tripo3d.ai/app/home) 2. Configure the MCP server in Claude Desktop or Cursor. * `pip install uv` * set mcp in cursor ```json { "mcpServers": { "tripo-mcp": { "command": "uv", "args": [ "tripo-mcp" ] } } } ``` * Then you will get a green dot like this:  ### Usage 1. Enable Tripo AI Blender Addon and start blender mcp server. 2. Chat using cursor or claude. E.g., "Generate a 3D model of a futuristic chair". ## Acknowledgements - **[Tripo AI](https://www.tripo3d.ai)** - **[blender-mcp](https://github.com/ahujasid/blender-mcp)** by [Siddharth Ahuja](https://github.com/ahujasid) **Special Thanks** Special thanks to Siddharth Ahuja for the blender-mcp project, which provided inspiring ideas for MCP + 3D.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.