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Control and manage FiftyOne datasets through AI assistants via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FiftyOne MCP Server" yet — see the docs or source repo.
Using the FiftyOne MCP Server, list the available datasets and summarize each dataset's sample count, label types, and most recent update time.
A dataset list with a concise summary of key statistics for each dataset.
Using the FiftyOne MCP Server, filter samples in a specified dataset whose detection confidence is below 0.3, and count them by class.
A filtered sample set plus aggregated counts grouped by class.
Using the FiftyOne MCP Server, create a view for this dataset that includes only nighttime scenes and pedestrian labels, and save it as "night_pedestrian_review".
A reusable saved dataset view for later review and analysis.
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