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Manage Labellerr annotation projects, datasets, and monitoring through AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Labellerr MCP Server" yet — see the docs or source repo.
Use the Labellerr MCP Server to create a new image annotation project named "Road Damage Detection" and return the creation result plus next possible actions.
Returns the project creation result, key project details, and suggested next steps such as adding datasets or configuring workflows.
Using the Labellerr MCP Server, check the status of all datasets under the "Road Damage Detection" project, including volume, annotation progress, and issues, then summarize the results.
Outputs a dataset list, progress metrics, potential issues or blockers, and a concise status summary.
Use the Labellerr MCP Server to analyze current annotation operations, identify lagging projects or tasks, and suggest the highest-priority items to address.
Provides an operations monitoring summary, a list of delayed projects or tasks, and prioritized recommendations for action.
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