MCP server for the ProxyML API. Gives Claude (and other MCP clients) direct access to ProxyML's surrogate modelling and explainability tools.
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.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| proxyml_infer_schema | Infer a feature schema from a local CSV file — no data sent to the server |
| proxyml_get_schema | Retrieve a stored schema by name |
| proxyml_put_schema | Upload or replace a feature schema |
| proxyml_list_schemas | List all named feature schemas for the authenticated account |
| proxyml_delete_schema | Delete a named feature schema |
| proxyml_synthesize_data | Generate synthetic samples from the stored schema |
| proxyml_train_surrogate | Train a linear surrogate on samples scored by your model |
| proxyml_list_surrogates | List trained surrogate models, newest first |
| proxyml_get_model_schema | Retrieve the feature schema snapshotted when a surrogate was trained |
| proxyml_update_surrogate | Rename or annotate a surrogate without retraining |
| proxyml_delete_surrogate | Delete a surrogate model by its UUID |
| proxyml_predict | Get a surrogate prediction for a single instance |
| proxyml_predict_batch | Get surrogate predictions for a list of instances |
| proxyml_train_challenger | Train a challenger model locally on a CSV and assemble an upload-ready payload |
| proxyml_score_champion | Score a champion model's predictions locally, for an apples-to-apples comparison |
| proxyml_get_summary | Feature importances and model summary |
| proxyml_export_surrogate | Full coefficient export for audit and governance |
| proxyml_explain_local | Per-feature contribution breakdown for a single instance |
| proxyml_explain_local_batch | Per-feature contributions for multiple instances in one call |
| proxyml_find_counterfactual | Find the nearest point that flips the prediction |
| proxyml_find_counterfactuals | Batch version of proxyml_find_counterfactual for multiple instances |
| proxyml_diff_models | Compare feature importances between two surrogate versions |
| proxyml_detect_drift | Compare two versions and return a structured pass/fail against coefficient and fidelity thresholds |
| proxyml_get_usage | Current tier, request count, and quota — useful as a pre-flight check |
| proxyml_health_check | Check API connectivity — no authentication required, doesn't count against usage quota |
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