Infinitus Systems Introduces MCP Server for AI-Driven Healthcare Interoperability
Infinitus Systems, known for powering over 100 million minutes of healthcare conversations, has unveiled its Model Context Protocol (MCP) server, setting a new benchmark for AI interoperability in healthcare.
The move addresses a long-standing pain point: healthcare data remains fragmented across portals, APIs, faxes, and phone systems, slowing patient care and straining provider workflows. Infinitus’ MCP server allows AI agents to seamlessly interact with these systems, automating tasks like benefit verification, prior authorization, and appeals follow-up.
“MCP is to AI what FHIR is to healthcare IT,” said Ankit Jain, CEO and co-founder of Infinitus. “Our MCP server lets organizations integrate existing APIs and workflows into a trusted AI ecosystem—without rebuilding their infrastructure.”
How MCP Powers Healthcare AI
The MCP standard, developed by Anthropic, enables large language models and AI agents to safely access external tools and services. Infinitus has extended this protocol to healthcare by:
- Automating time-intensive tasks such as eligibility checks and prior authorization follow-ups.
- Streamlining interoperability by exposing APIs as MCP tools using OpenAPI and FHIR standards.
- Ensuring scalability and reliability with an architecture tailored for complex, regulated healthcare workflows.
Already, Infinitus’ AI agents have handled over 7 million clinical and administrative phone calls, representing more than 100 million minutes of conversation. The MCP server now lets these agents extend capabilities to even more systems and workflows using simple, natural language queries.
Why It Matters
Healthcare providers face growing pressure to reduce administrative burdens while maintaining compliance and patient satisfaction. By introducing an MCP server, Infinitus is making AI-driven workflow automation more accessible, reliable, and scalable—potentially transforming how hospitals, clinics, and payers manage repetitive yet critical processes.
This innovation could accelerate adoption of AI across healthcare operations, creating faster claims processing, improved patient access, and more efficient provider operations—a key competitive edge as digital health platforms expand.
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