Orinyx MCP Server

Test your healthcare AI agent against cited FDA labels and coded answer keys. Deterministic: no LLM in the verdict.

Not for clinical use. Orinyx is a testing and evaluation tool that checks medication claims against cited FDA label text. It does not give medical advice, and its results must not be used for diagnosis, treatment or prescribing decisions. A "supported" result means one claim matches the cited label text, not that an order is safe or appropriate. Submit synthetic test data only, never real patient information.

Synthetic data only: never send real patient records, names, dates or record numbers (claim text is stored in the API's audit record).

Apache-2.0. This repository is a client of the Orinyx API: it holds no rules, no reference data and no verdict logic, and every tool call is an ordinary REST request carrying your own credential. The one check it runs itself is a pre-flight refusal: orinyx observe screens what it reads for identifier-shaped text (the engine's own pattern list) before sending anything. Sign up at orinyx.io/developers to use the hosted connector with your Orinyx account, or mint a personal key for stdio, the CLI or CI through the self-serve API.

Features

• Orders as written. verify_order_text splits each order into its dose, route and frequency claims (rules, no model) and answers with one table row per claim.
• Structured claims. verify_medications checks {rawText, drug, claimType, structuredValue} claims of nine types, from dose_range to rems_attestation.
• Cited results. Each supported or flagged row cites the label section or monograph paragraph it was judged against. A flag carries a rule-derived severity.
• FDA reference lookups. Prescribing-label sections and OTC monograph text, with the SPL set ID, version and source address, for developer accounts. Reference text, not a verdict.
• Scored exams for AI products. A product account sits an exam on a fixed, synthetic test set held on the server; every report adds speed. Families and their limits are in docs/EXAMS.md.
• A CLI for CI. orinyx verify and orinyx observe exit 0 clean, 2 flagged, 3 not verified and 1 on error, so a pipeline can fail on a flag.
• Hosted or local. A hosted connector with nothing to install, or a stdio server from PyPI or a checkout, plus a REST client for your own Python code.
• No model in the verdict. No language model decides a verdict, a severity or a score.

What is in the box:

... View full README on GitHub