poll_rodin_job_status
Monitor Hyper3D Rodin generation task completion status in BlenderMCP to determine when 3D models are ready for use or if processing has failed.
Instructions
Check if the Hyper3D Rodin generation task is completed.
For Hyper3D Rodin mode MAIN_SITE: Parameters: - subscription_key: The subscription_key given in the generate model step.
Returns a list of status. The task is done if all status are "Done".
If "Failed" showed up, the generating process failed.
This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").For Hyper3D Rodin mode FAL_AI: Parameters: - request_id: The request_id given in the generate model step.
Returns the generation task status. The task is done if status is "COMPLETED".
The task is in progress if status is "IN_PROGRESS".
If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| subscription_key | No | ||
| request_id | No |
Implementation Reference
- src/blender_mcp/server.py:798-839 (handler)The handler function decorated with @mcp.tool(), which registers and implements the poll_rodin_job_status tool. It handles input parameters (subscription_key or request_id), connects to Blender, sends the poll command, and returns the status result or error.
@mcp.tool() def poll_rodin_job_status( ctx: Context, subscription_key: str=None, request_id: str=None, ): """ Check if the Hyper3D Rodin generation task is completed. For Hyper3D Rodin mode MAIN_SITE: Parameters: - subscription_key: The subscription_key given in the generate model step. Returns a list of status. The task is done if all status are "Done". If "Failed" showed up, the generating process failed. This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled"). For Hyper3D Rodin mode FAL_AI: Parameters: - request_id: The request_id given in the generate model step. Returns the generation task status. The task is done if status is "COMPLETED". The task is in progress if status is "IN_PROGRESS". If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed. This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state). """ try: blender = get_blender_connection() kwargs = {} if subscription_key: kwargs = { "subscription_key": subscription_key, } elif request_id: kwargs = { "request_id": request_id, } result = blender.send_command("poll_rodin_job_status", kwargs) return result except Exception as e: logger.error(f"Error generating Hyper3D task: {str(e)}") return f"Error generating Hyper3D task: {str(e)}" - src/blender_mcp/server.py:799-823 (schema)The function signature and docstring define the input schema (subscription_key or request_id optional strings) and describe input/output behavior for different modes.
def poll_rodin_job_status( ctx: Context, subscription_key: str=None, request_id: str=None, ): """ Check if the Hyper3D Rodin generation task is completed. For Hyper3D Rodin mode MAIN_SITE: Parameters: - subscription_key: The subscription_key given in the generate model step. Returns a list of status. The task is done if all status are "Done". If "Failed" showed up, the generating process failed. This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled"). For Hyper3D Rodin mode FAL_AI: Parameters: - request_id: The request_id given in the generate model step. Returns the generation task status. The task is done if status is "COMPLETED". The task is in progress if status is "IN_PROGRESS". If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed. This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state). """ - src/blender_mcp/server.py:798-798 (registration)The @mcp.tool() decorator registers the poll_rodin_job_status function as an MCP tool.
@mcp.tool()