Tuba Workflow FAQs

Question 1

What is Tuba Workflow?

Accepted Answer

Tuba Workflow is a Model Context Protocol (MCP) server that exposes your Tuba.ai computer vision project workflows as callable tools. This enables programmatic interaction by AI assistants, scripts, and other services.

Question 2

How does Tuba Workflow integrate with AI assistants like Claude Desktop?

Accepted Answer

As an MCP server, Tuba Workflow can be configured to integrate directly with MCP clients like Claude Desktop. This allows AI assistants to control and interact with your Tuba.ai workflows using natural language commands.

Question 3

What are the prerequisites for using Tuba Workflow?

Accepted Answer

You need Python 3.10 or higher, the 'uv' package manager, an active Tuba.ai account with a project, and your project's TUBA_WORKFLOW_ACCESS_TOKEN.

Question 4

What functionalities does Tuba Workflow provide?

Accepted Answer

It allows you to execute Tuba.ai project workflows, retrieve their current execution status, fetch workflow results (including file downloads), get block configurations, and update parameters or upload files to workflow blocks.

Question 5

Can I update workflow parameters or upload files using Tuba Workflow?

Accepted Answer

Yes, the 'update_workflow_blocks_data()' tool allows you to modify parameters and upload files to workflow blocks. It supports local files, remote URLs, and Base64 encoded data for file uploads.

Tuba Workflow

Tuba Workflow

Características Principales

Casos de Uso

Características Principales

Casos de Uso