Compatible with every major AI agent and IDE
Get patient on Epic Fhir
Returns name, DOB, gender, race, ethnicity, address, phone, email, and all identifiers. Get patient details by ID
List allergies on Epic Fhir
Includes substance, reaction type, severity, and clinical status. List allergies and intolerances
List appointments on Epic Fhir
Includes date/time, provider, location, and status. List patient appointments
List conditions on Epic Fhir
Includes ICD-10 codes, clinical status, verification status, onset date, and severity. List diagnoses and conditions
List diagnostic reports on Epic Fhir
Includes report type, results, conclusion, and performing organization. List diagnostic reports
List encounters on Epic Fhir
Includes encounter type, period, reason, and location. List patient encounters/visits
List immunizations on Epic Fhir
Includes vaccine type (CVX code), administration date, dose, site, and lot number. List immunizations
List medications on Epic Fhir
Includes medication name, dosage, frequency, route, prescriber, and status. List medication requests
List observations on Epic Fhir
Filter by category: vital-signs, laboratory, social-history. Includes values, units, reference ranges, and interpretation. List clinical observations
Search patients on Epic Fhir
Returns patient demographics including name, DOB, gender, address, and identifiers. Search patients by name, DOB, or MRN
How Vinkius protects your data
Can I search for a patient and instantly see their full medical timeline?
Yes! Use search_patients with name or MRN to find the patient, then chain list_encounters, list_conditions, and list_medications to build a full clinical picture. Your agent compiles everything in seconds — no chart-clicking required.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Epic Fhir
The Epic Fhir MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Claude Code Integration for electronic health records
The Epic Fhir MCP manages API routing for electronic health records. This enables AI agents like Claude Code to execute structured data management queries.
Optimizing fhir r4 with Claude
Connect the Epic Fhir server to enable fhir r4 workflows. The integration provides structured schemas for Claude to mutate data management data.
Epic Fhir. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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