Interface for AI Agents

What is MCP?

Model Context Protocol (MCP) is an open standard created by Anthropic to securely connect AI agents to external systems and data.

The Production-Ready Layer

Caren uses MCP to enable general-purpose AI agents to perform population management and care for patients through validated care pathways.

Architecture

Protocol Version 1.0

Architecture Overview

The secure bridge for managing populations with AI Agents and clinical data.

AI Agent

Generic or purpose-specific AI agents for scheduling and confirming appointments and exams.

Standardized Bridge

MCP Server

Validated clinical rules and protocols that give AI agents safe, usable clinical capabilities.

Clinical Data

Utilization history, chronic conditions, patient records and laboratory results.

How it works

Caren provides the abstraction layer between complex clinical logic and modern AI agent infrastructure.

Developer Ready

Universal MCP Standard support

1

Connect your application to the MCP server

Add Caren's MCP server to your project by configuring only the URL and access credentials. It's plug-and-play and fully compatible with any standard MCP client on the market.

MCP Config Connected
URL https://mcp.caren.app/v1
Key ••••••••••••••••
2

Enable care pathways

Select the clinical protocols your AI will have access to: diabetes, hypertension, oncology, heart failure, among others. Each pathway automatically transforms into a package of tools for your agent.

3

Give your AI clinical intelligence

MCP capabilities are natively exposed to your agent. It gains the power to consult medical guidelines, assess risks and conduct care journeys — without your team needing to write a single clinical rule.

4

Monitor and audit interactions in real time

Have total governance over what your AI is doing. Track MCP usage metrics, understand which protocols are most triggered and maintain an auditable and secure trail for all decisions made.

Ready to build with MCP?

Explore our documentation and see how Caren integrates MCP to deliver safer, faster AI-driven clinical outcomes.