Tripo 3D logo

Tripo 3D

Organization
vast-ai-research

Official MCP server for Tripo

Publishervast-ai-research
Repositorytripo-mcp
LanguagePython
Forks
27
Stars
182
Available tools
15
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Tripo 3D exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 15 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    182 stars and 27 forks from the linked repository.

Tripo 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

Installation

  1. Install Tripo AI Blender Addon from Tripo AI's website

  2. Configure the MCP server in Claude Desktop or Cursor.

    • pip install uv
    • set mcp in cursor
    json
    {
      "mcpServers": {
        "tripo-mcp": {
          "command": "uvx",
          "args": [
            "tripo-mcp"
          ]
        }
      }
    }
    • Then you will get a green dot like this: img

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

Special Thanks
Special thanks to Siddharth Ahuja for the blender-mcp project, which provided inspiring ideas for MCP + 3D.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "tripo-mcp": {
      "command": "uvx",
      "args": [
        "tripo-mcp"
      ]
    }
  }
}

Available Tools

  • get_scene_info

    Get detailed information about the current Blender scene

  • get_object_info
    Get detailed information about a specific object in the Blender scene.
    
    Parameters:
    - object_name: The name of the object to get information about
    
  • create_object
    Create a new object in the Blender scene.
    
    Parameters:
    - type: Object type (CUBE, SPHERE, CYLINDER, PLANE, CONE, TORUS, EMPTY, CAMERA, LIGHT)
    - name: Optional name for the object
    - location: Optional [x, y, z] location coordinates
    - rotation: Optional [x, y, z] rotation in radians
    - scale: Optional [x, y, z] scale factors
    
  • modify_object
    Modify an existing object in the Blender scene.
    
    Parameters:
    - name: Name of the object to modify
    - location: Optional [x, y, z] location coordinates
    - rotation: Optional [x, y, z] rotation in radians
    - scale: Optional [x, y, z] scale factors
    - visible: Optional boolean to set visibility
    
  • delete_object
    Delete an object from the Blender scene.
    
    Parameters:
    - name: Name of the object to delete
    
  • set_material
    Set or create a material for an object.
    
    Parameters:
    - object_name: Name of the object to apply the material to
    - material_name: Optional name of the material to use or create
    - color: Optional [R, G, B] color values (0.0-1.0)
    
  • execute_blender_code
    Execute arbitrary Python code in Blender.
    
    Parameters:
    - code: The Python code to execute
    
  • get_polyhaven_categories
    Get a list of categories for a specific asset type on Polyhaven.
    
    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    
  • search_polyhaven_assets
    Search for assets on Polyhaven with optional filtering.
    
    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    
    Returns a list of matching assets with basic information.
    
  • download_polyhaven_asset
    Download and import a Polyhaven asset into Blender.
    
    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    
    Returns a message indicating success or failure.
    
  • set_texture
    Apply a previously downloaded Polyhaven texture to an object.
    
    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)
    
    Returns a message indicating success or failure.
    
  • get_polyhaven_status
    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.
    
  • create_3d_model_from_text

    $2e

  • import_tripo_glb_model
    Import a GLB model from URL into Blender scene
    
    Parameters:
    - glb_url: Download URL of the GLB model file
    
    Returns:
    Result message of the import operation
    
  • get_task_status
    Get the status of a 3D model generation task.
    
    IMPORTANT: This tool checks the status of a task started by create_3d_model_from_text.
    You may need to call this tool MULTIPLE TIMES until the task completes.
    
    Typical workflow:
    1. Call this tool with the task_id from create_3d_model_from_text
    2. Check the status in the response:
       - If status is SUCCESS, the task is complete and you can use the pbr_model_url
       - If status is FAILED, CANCELLED, BANNED, or EXPIRED, the task failed
       - If status is anything else, the task is still in progress
    3. If the task is still in progress, wait a moment and call this tool again
    
    Args:
        task_id: The ID of the task to check (obtained from create_3d_model_from_text).
    
    Returns:
        A dictionary containing the task status and other information.
    

Use Tripo 3D MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Tripo 3D is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Tripo 3D as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Tripo 3D MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "tripo-3d": {
      "command": "npx",
      "args": [
        "-y",
        "tripo-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Tripo 3D MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Tripo 3D MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Tripo 3D to help me with this task?
Tripo 3D
Sure. I read it.
Here is what I found using Tripo 3D.

Frequently asked questions

What is the Tripo 3D MCP server used for?

Tripo 3D is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Tripo 3D MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Tripo 3D with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Tripo 3D MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Tripo 3D connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Tripo 3D MCP to TypingMind?

Tripo 3D runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Tripo 3D MCP provide in TypingMind?

Tripo 3D exposes 15 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Tripo 3D MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Tripo 3D requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇