Emergency Medicare Management MCP Server

The Emergency Medicare Planner MCP Server is a specialized integration that empowers AI assistants to guide users through urgent medical decision‑making. By leveraging the Google Maps Places and Directions APIs, it locates hospitals, clinics, and other medical facilities within a configurable radius (default 10 km) of the user’s current position. The server evaluates each facility against a patient’s specific medical needs—such as required specialties, emergency level, and operational hours—to surface the most appropriate options in real time.

For developers building AI workflows, this MCP adds a critical “clinical reasoning” layer. Its Sequential Thinking for Medical Evaluation feature enables the assistant to walk through a step‑by‑step diagnostic chain: from symptom extraction and medical history parsing to facility matching. This structured approach reduces the risk of recommending an unsuitable or overloaded location, improving patient safety and trust in the AI’s guidance.

Key capabilities include:

• searchMedicalFacilities: Retrieves a list of nearby medical venues based on query terms, location coordinates, radius, and specialty filters.
• getMedicalFacilityDetails: Provides comprehensive data such as operating hours, services offered, and contact information for a selected place.
• calculateRouteToFacility: Generates the fastest route, supporting multiple transport modes (driving, walking, transit, ambulance) and traffic‑avoidance options.
• checkFacilityAvailability: Checks real‑time acceptance status for a given emergency level, ensuring the facility can actually receive patients.

Typical use cases span mobile health apps, crisis‑response chatbots, and telemedicine platforms. For example, a user experiencing chest pain can prompt the AI to locate nearby cardiology centers, verify their current capacity, and calculate a safe route—all within seconds. Similarly, caregivers can use the tool to find pediatric care or specialized trauma units during emergencies.

Integration is straightforward: developers add the server’s command and API key to their Claude Desktop configuration, or launch it via npm for custom workflows. Once connected, the AI can invoke the tools in a conversational context, allowing the assistant to ask clarifying questions before delivering tailored recommendations. This seamless blend of geographic intelligence and clinical logic makes the Emergency Medicare Planner MCP Server a standout resource for any application that must support urgent medical navigation.