leaderboard_get_tabarena_leaderboard – 1 MCP server offers this tool
What it usually takes
datasets– in 1 of 1entrants– in 1 of 1imputation– in 1 of 1kind– in 1 of 1splits– in 1 of 1tasks– in 1 of 1
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
TabArena co.huggingface.tabarena/leaderboard TabArena is a living benchmark for tabular machine learning: predicting a target column from structured, rows-and-columns data (CSV files, spreadsheets, dataframes, database tables). It ranks tabular foundation models (TabPFN, TabICL, TabDPT, Mitra, TabM), gradient-boosted trees (LightGBM, XGBoost, CatBoost), neural networks (RealMLP, ModernNCA) and AutoML systems (AutoGluon) by Elo over 51 curated datasets, with measured training and inference time for each. This endpoint returns the ranked results (Elo, score, ranks, train and predict time) for one subset of the IID benchmark, selected by task type, dataset size, imputation and split protocol. Use it to look up where a named method stands, to compare two of them ("is TabPFN better than LightGBM on small data"), or to report the current state of the art on tabular data. Pass kind='models' (the default) for individual models, kind='systems' for whole AutoML systems such as AutoGluon, or kind='all' for both: a question about the best mo | datasets,entrants,imputation,kind,splits,tasks | Not stated |