Mcp Proxyml MCP Server

MCP server for the ProxyML API. Gives Claude (and other MCP clients) direct access to ProxyML's surrogate modelling and explainability tools.

Local server

What is the Mcp Proxyml MCP Server?

Mcp Proxyml is an MCP project maintained in the proxyml/mcp-proxyml repository. The maintainer describes its purpose as “MCP server for the ProxyML API. Gives Claude (and other MCP clients) direct access to ProxyML's surrogate modelling and explainability tools”. Read the project documentation for the complete scope.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
proxyml_infer_schemaInfer a feature schema from a local CSV file — no data sent to the server
proxyml_get_schemaRetrieve a stored schema by name
proxyml_put_schemaUpload or replace a feature schema
proxyml_list_schemasList all named feature schemas for the authenticated account
proxyml_delete_schemaDelete a named feature schema
proxyml_synthesize_dataGenerate synthetic samples from the stored schema
proxyml_train_surrogateTrain a linear surrogate on samples scored by your model
proxyml_list_surrogatesList trained surrogate models, newest first
proxyml_get_model_schemaRetrieve the feature schema snapshotted when a surrogate was trained
proxyml_update_surrogateRename or annotate a surrogate without retraining
proxyml_delete_surrogateDelete a surrogate model by its UUID
proxyml_predictGet a surrogate prediction for a single instance
proxyml_predict_batchGet surrogate predictions for a list of instances
proxyml_train_challengerTrain a challenger model locally on a CSV and assemble an upload-ready payload
proxyml_score_championScore a champion model's predictions locally, for an apples-to-apples comparison
proxyml_get_summaryFeature importances and model summary
proxyml_export_surrogateFull coefficient export for audit and governance
proxyml_explain_localPer-feature contribution breakdown for a single instance
proxyml_explain_local_batchPer-feature contributions for multiple instances in one call
proxyml_find_counterfactualFind the nearest point that flips the prediction
proxyml_find_counterfactualsBatch version of proxyml_find_counterfactual for multiple instances
proxyml_diff_modelsCompare feature importances between two surrogate versions
proxyml_detect_driftCompare two versions and return a structured pass/fail against coefficient and fidelity thresholds
proxyml_get_usageCurrent tier, request count, and quota — useful as a pre-flight check
proxyml_health_checkCheck API connectivity — no authentication required, doesn't count against usage quota