Building a Multi-Agent Medication Reconciliation System with MCP and A2A

Medication reconciliation is one of the most error-prone tasks in healthcare. When a patient moves between care settings - hospital admission, discharge, outpatient follow-up - their medication list has to be assembled from multiple sources that rarely agree. The hospital EHR says one thing, the pharmacy says another, the primary care doctor's chart says a third. Someone has to manually compare all three, catch the conflicts, and produce a single authoritative list. That someone is usually a pharmacist or nurse, doing it by hand, under time pressure. The stakes are high: medication errors at care transitions cause roughly 30% of hospital readmissions. Two-thirds of adverse drug events are preventable if the right checks are run. We built MedRecon to automate this workflow using a multi-agent AI system. Three agents, each with a specialized role, coordinating via the Agent-to-Agent (A2A) protocol, with a shared MCP server exposing clinical tools. The result is a full reconciliation repo