The power of specialized agents: Corti's pre-built Experts

To avoid rebuilding the same healthcare AI basics, Corti’s expert registry delivers pre-built experts for clinical references, coding, drug interactions, and literature search.

TL;DR

Corti's expert registry provides pre-built agents for common healthcare tasks: clinical reference, medical coding, drug information, literature search, and more. All MCP-compatible. Bring your own experts by exposing an MCP server. The orchestrator composes them into workflows automatically.

This piece covers:

  • What an expert is and how it differs from a general-purpose agent
  • Available pre-built experts in the registry
  • How to bring your own expert via MCP
  • Why custom experts get the same safety guarantees as native ones
  • Why pre-built experts accelerate development

What is an expert?

An expert is a pre-configured agent with tightly scoped domain intelligence and tools. Unlike a general-purpose agent that tries to do everything, an expert is designed to do one thing well.

A coding expert handles ICD-10 and CPT lookup. A clinical reference expert retrieves guideline information. A pharmaceutical expert checks drug interactions. Each expert has its own system prompt, tools, and focused context.

The orchestrator composes these experts into workflows. You describe what you need done. The orchestrator routes tasks to the right experts, calls them in parallel when appropriate, and assembles the output.

Available experts

Corti maintains a registry of experts for common healthcare tasks. All are MCP-compatible and can be called by the orchestrator based on the task at hand.

Clinical knowledge and research

  • Amboss Researcher: Clinical reference and medical knowledge
  • PubMed: Biomedical literature search across 35+ million articles
  • Thieme: Medical reference content
  • ClinicalTrials.gov: Active clinical trial search and eligibility matching

Pharmaceutical

  • DrugBank: Drug information, mechanisms, and pharmacology
  • Posos: Drug interactions, contraindications, and dosing guidance

Revenue cycle

  • Medical Coding: ICD-10 and CPT code lookup and validation

Clinical utilities

  • Medical Calculator: Clinical calculations (eGFR, BMI, risk scores, unit conversions)
  • Questionnaire Interviewing: Structured data collection and patient intake

General

  • Web Search: Scoped web retrieval for guidelines, policies, and external information

You can browse available experts through the Expert Registry API, which returns information about each expert's capabilities, descriptions, and configuration requirements.

Bring your own expert

The registry is not limited to what Corti provides. You can create custom experts by exposing an MCP server and registering it with the framework.

When you register your MCP server, Corti wraps it in an LLM agent with a system prompt you control. Your expert then becomes available to the orchestrator alongside Corti's built-in experts.

What this enables:

  • Integrate your own tools and data sources
  • Create domain-specific experts tailored to your workflows
  • Maintain control over behavior through custom system prompts
  • Use Corti's orchestration and memory management with your own tools

Configuration is straightforward. You provide expert metadata (ID, name, description), a system prompt that controls how the agent reasons about tasks, and your MCP server details including transport type and authentication.

Once registered, your custom expert works seamlessly in multi-expert workflows.

Your experts get the same guarantees

Custom experts are not second-class citizens. When you integrate your own MCP, it inherits the same safety guarantees and visibility features as Corti's native experts.

  • Access control and data segregation. The orchestrator enforces user-level permissions for your expert just as it does for built-in ones. Your expert stays confined to the end user's access permissions for the thread it is serving.
  • Parameter-level controls. Corti implements input_mode definitions that specify whether each parameter must be injected programmatically, generated by the agent, or provided by the user. Your custom experts are subject to these same rules, preventing hallucinated identifiers and ensuring data integrity.
  • Human-in-the-loop. Any tool can declare human_interrupt_required: true, which halts execution and requires explicit human approval before proceeding. This works for your custom tools just as it does for Corti's.
  • Full tracing. No message passes between the orchestrator and any expert without being validated and logged. This applies to customer-built experts too. Every decision, action, and data flow is captured and traceable.

The framework upgrades your MCP with production-grade governance. You build the domain logic. Corti handles the safety infrastructure.

Focus on building what really differentiates your product

Every expert you do not have to build is time saved. Every integration you do not have to maintain is complexity removed.

Clinical reference, coding, drug information, literature search. These are solved problems. Start with them. Focus your engineering time on the workflows and user experiences that differentiate your product.

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