shibuiwilliam/mcp-server-scikit-learn
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This is a Model Context Protocol server for Scikit-learn, providing a standardized interface for interacting with Scikit-learn models and datasets.
Tools
Functions exposed to the LLM to take actions
random_forest_classifier
Train and predict with Random Forest Classifier.
random_forest_regressor
Train and predict with Random Forest Regressor.
isolation_forest
Train and predict with Isolation Forest for anomaly detection.
decision_tree_classifier
Train and predict with Decision Tree Classifier.
decision_tree_regressor
Train and predict with Decision Tree Regressor.
k_neighbors_classifier
Train and predict with K-Neighbors Classifier.
k_neighbors_regressor
Train and predict with K-Neighbors Regressor.
nearest_neighbors
Find nearest neighbors using scikit-learn's NearestNeighbors.
k_means
Perform K-Means clustering using scikit-learn's KMeans.
one_class_svm
Perform anomaly detection using scikit-learn's OneClassSVM.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
