MCP Server

Tools · 15

• information_about_data Give detailed information about the data
• reading_csv Read the csv file
• visualize_correlation_num Visualize the correlation matrix for numerical columns
• visualize_correlation_cat Visualize the correlation matrix for categorical columns
• visualize_correlation_final Visualize the correlation matrix after preprocessing
• visualize_outliers Visualize outliers in the data
• visualize_outliers_final Visualize outliers after preprocessing
• preprocessing_data Preprocess the data (remove outliers, fill nulls, etc.)
• prepare_data Prepare the data for models (encoding, scaling, etc.)
• models Select and evaluate models based on problem type
• visualize_accuracy_matrix Visualize the confusion matrix for predictions
• best_model_hyperparameter Tune the hyperparameters of the best model
• test_external_data Test external data with the best model and return predictions
• predict_value Predict the value of the target column for new input
• feature_importance_analysis Analyze the feature importance of the data using XGBoost