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Control Tuba.ai vision workflows programmatically, from execution to results retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tuba Workflow MCP Server" yet — see the docs or source repo.
Use the Tuba Workflow MCP Server to run a specified Tuba.ai vision workflow with the input image URL https://example.com/sample.jpg, and return the job ID for this run.
A confirmation that the workflow started, along with the job ID for follow-up checks.
Use the Tuba Workflow MCP Server to check the execution status of job ID job_12345; if it is completed, fetch and summarize the output results.
The current execution status, and if completed, the result content or result links.
Use the Tuba Workflow MCP Server to update an image classification block in a Tuba.ai workflow by setting the confidence threshold to 0.85, and report whether the update succeeded.
A result confirming the block update and whether the new configuration is now active.
Control Tubist to play YouTube background audio using natural language commands.
Manage Tugboat projects, preview environments, and repositories through AI-driven API actions.
Discover, chain, and execute AI tools through a centralized MCP registry.
Aggregate multiple MCP servers into a few fixed tools for AI apps.
Control tmux sessions with AI for collaborative development and terminal automation.
Enable LLMs to run commands, manage files, search, and use external tools.