Infinitus MCP Server Brings FHIR-like Interoperability to AI in Healthcare

Infinitus Launches MCP Server to Standardize AI Interoperability in Healthcare

Published: 26 Sep 2025

Infinitus Systems has released its Model Context Protocol (MCP) server after serving more than 100 million minutes of agentic, AI-driven conversations in healthcare. The aim is simple: make AI agents speak the same language as healthcare systems, safely and at scale.

The problem it targets

Care teams still chase data across portals, APIs, fax, and phone calls. That fragmentation slows treatment decisions, increases denials, and inflates administrative costs for both providers and payers.

At the same time, AI adoption is accelerating to address rising costs, staffing gaps, and tighter regulatory oversight. The bottleneck is interoperability and trust.

What the MCP server does

Infinitus' MCP server provides a universal, trusted framework for AI agents to communicate with existing healthcare systems. It exposes Infinitus APIs as MCP tools using widely used standards like OpenAPI and FHIR, so teams can automate without tearing up their IT stack.

Use cases include benefit verification, prior authorization, and appeal follow-ups, with extensions planned for claims management and coordinated care.

Why it matters for providers and payers

• Reduce manual phone/fax work and shorten time-to-decision for patients.
• Improve auditability and compliance with consistent, standards-based interfaces.
• Reuse existing APIs and data flows instead of funding large rebuilds.
• Scale automation across payers and providers with a single, trusted approach.

Early workflows you can automate

• Eligibility and benefits verification
• Prior authorization submission and status checks
• Appeal tracking and follow-up
• Claims status inquiries (expanding scope)
• Coordinated, integrated care communications (expanding scope)

Implementation notes

The MCP server is built to sit on top of what you already have. Connect current APIs and data feeds, publish them as MCP tools, and let agents orchestrate tasks through a consistent interface.

Standards support matters. FHIR resources model clinical and administrative data, while OpenAPI descriptions make endpoints discoverable and toolable. For a technical primer on MCP itself, see the Model Context Protocol.

Executive's statement

"MCP is to AI what FHIR has been to healthcare IT. It establishes the foundation for interoperability, so AI agents can safely and effectively take action in the real world. With our MCP server, healthcare organisations can connect their existing APIs and data flows into our trusted AI ecosystem, without the cost or risk of reinventing their infrastructure." - Ankit Jain, CEO and Co-Founder of Infinitus

What to do next

• Prioritize workflows with high call or fax volume and measurable delays.
• Inventory your existing APIs and FHIR resources; identify quick wins.
• Request MCP server integration details and a sandbox from your vendor team.
• Pilot a single process end-to-end; track turnaround time, staff hours saved, and denial rate movement.
• Run security and compliance reviews early; confirm audit trails and PHI handling.

If your team needs practical upskilling on AI agents, APIs, and FHIR, explore curated programs by role at Complete AI Training.