mcp-proxyml
PyPI
v0.1.7
Published by proxyml — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
MCP server for the ProxyML API
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Each tool and what it can reach — statically extracted from the published source.
proxyml_delete_schemano sensitive capabilityproxyml_delete_surrogateno sensitive capabilityproxyml_detect_driftno sensitive capabilityproxyml_diff_modelsno sensitive capabilityproxyml_explain_localno sensitive capabilityproxyml_explain_local_batchno sensitive capabilityproxyml_export_surrogateno sensitive capabilityproxyml_find_counterfactualno sensitive capabilityproxyml_find_counterfactualsno sensitive capabilityproxyml_get_model_schemano sensitive capabilityproxyml_get_schemano sensitive capabilityproxyml_get_summaryno sensitive capabilityproxyml_get_usageno sensitive capabilityproxyml_health_checkno sensitive capabilityproxyml_infer_schemano sensitive capabilityproxyml_list_schemasno sensitive capabilityproxyml_list_surrogatesno sensitive capabilityproxyml_predictno sensitive capabilityproxyml_predict_batchno sensitive capabilityproxyml_put_schemano sensitive capabilityproxyml_score_championno sensitive capabilityproxyml_synthesize_datano sensitive capabilityproxyml_train_challengerno sensitive capabilityproxyml_train_surrogateno sensitive capabilityproxyml_update_surrogateno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.7 latest |
A 99/100 | 0 | 1.13.0 | 2026-08-25 |
v0.1.6 |
A 99/100 | 0 | 1.12.1 | 2026-08-02 |
v0.1.4 |
A 99/100 | 0 | 1.12.1 | 2026-07-27 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan mcp-proxyml --online --registry pypi
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