Medical MCP Server

The Medical MCP Server fills a critical gap for developers building AI assistants that need reliable, up‑to‑date medical knowledge. Instead of hard‑coding drug facts or health statistics into an assistant, this server acts as a live bridge to authoritative public databases such as the FDA, WHO Global Health Observatory, PubMed, RxNorm, and even Google Scholar. By exposing a set of well‑defined tools through MCP, the server allows an AI to query these sources on demand and return structured, machine‑readable results that can be immediately consumed in conversations or downstream workflows.

At its core, the server offers five distinct tool families:

• Drug Information – retrieves quick lookup data from the FDA database, while pulls deep clinical information (warnings, interactions, pharmacology) using a drug’s National Drug Code.
• Health Statistics – pulls country‑specific indicators from the WHO Global Health Observatory, enabling real‑time fact checks on life expectancy, mortality rates, and other public health metrics.
• Medical Literature – queries PubMed for peer‑reviewed research, and extends coverage to broader academic work via web scraping.

Each tool accepts simple, human‑readable parameters (e.g., drug name or PubMed query) and returns JSON objects that include titles, identifiers, dates, and other relevant metadata. This design keeps the assistant’s prompts clean while still delivering rich content.

Use cases are abundant: a virtual health coach can ask for the latest dosage guidelines for ibuprofen; a clinical decision support system can pull the newest WHO mortality data for a region; an academic chatbot can surface recent peer‑reviewed studies on a disease outbreak. Because the server is bound to and enforces strict IP filtering, it can run safely on a developer’s machine or within a secure internal network, ensuring that sensitive queries never leave the local environment.

The server’s integration is straightforward for MCP‑aware assistants: a single tool call returns structured data that can be parsed, summarized, or passed to other services. Developers benefit from a single point of maintenance for all medical data sources, reducing duplication and ensuring consistency across applications. The combination of authoritative APIs, live updates, and tight security makes the Medical MCP Server a standout component for any AI project that requires trustworthy medical information.