Tripo MCP Server
Provides an interface between AI assistants and Tripo AI via Model Context Protocol, enabling generation of 3D assets from natural language and importing them to Blender.
VAST-AI-Research
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
Create a 3D model from a text description using the Tripo API. IMPORTANT: This tool initiates a 3D model generation task but does NOT wait for completion. After calling this tool, you MUST repeatedly call the get_task_status tool with the returned task_id until the task status is SUCCESS or a terminal error state. Typical workflow: 1. Call create_3d_model_from_text to start the task 2. Get the task_id from the response 3. Call get_task_status with the task_id 4. If status is not SUCCESS, wait a moment and call get_task_status again 5. Repeat until status is SUCCESS or a terminal error state 6. When status is SUCCESS, use the pbr_model_url from the response Args: describe_the_look_of_object: A detailed description of the object to generate. face_limit: The maximum number of faces in the model. auto_size: Whether to automatically size the model. Returns: A dictionary containing the task ID and instructions for checking the status.
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.
README
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
- 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
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Configure the MCP server in Claude Desktop or Cursor.
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Happy creating in 3D! 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.
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