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Manage Ultralytics projects, datasets, and models, then train, predict, and export.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ultralytics-mcp" yet — see the docs or source repo.
List all my projects, datasets, and models on the Ultralytics platform, sorted by most recently updated, including name, status, and last updated time.
A sorted inventory of projects, datasets, and models with names, statuses, and update timestamps.
Start a new Ultralytics model training job with a specified dataset, then return the job status, key parameters, and result link.
A newly created training job with job ID, current status, training parameters, and result access links.
Run model prediction on specified images or data, export the results in a downloadable format, and return a prediction summary and export file details.
A prediction summary with confidence or detection details, plus export format and download location.
Programmatically manage Unity projects, create assets, and automate builds with AI.
Manage Python environments, dependencies, and requirements through uv with LLM assistance.
Build, debug, and manage software tasks with natural language across LLMs.
Query an AI project portfolio, search by tech, and get project details.
Access multiple AI providers in one terminal for generation, search, and comparison.
Collect interactive user feedback for AI-assisted development via web and desktop apps.