About Synthetic Data Generation Evaluator
Synthetic Data Generation Evaluator is an MCP server in the Healthcare category: a comprehensive toolkit for evaluating the quality of synthetically generated tabular data against real data. Supports 50+ metrics across similarity, correlation, distance, privacy, ML efficacy, and likelihood fitness — plus an MCP server for AI agent integration.
Install
git clone https://github.com/sordi-ai/Synthetic-Data-Generation-EvaluatorThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (11)
evaluate_using_reportRun a full report category on real vs synthetic CSV
Parameters not published.
evaluate_using_single_metricRun a single metric on real vs synthetic CSV
Parameters not published.
get_dataset_metadataAuto-generate metadata for one or more CSV files
Parameters not published.
get_evaluation_metric_parametersGet required/optional params for a metric
Parameters not published.
get_ml_evaluation_parametersGet params for ML evaluation
Parameters not published.
get_report_parametersGet required/optional params for a report
Parameters not published.
inspect_dataProfile a CSV — column types, distributions, correlations
Parameters not published.
list_evaluation_metricsList all 50+ metric names
Parameters not published.
list_evaluation_reportsList all report categories and their metrics
Parameters not published.
list_ml_evaluation_modelsList available ML models
Parameters not published.
ml_evalTrain/test ML models on real or synthetic data
Parameters not published.
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