Apus Medical MCP Server

The Apus Medical MCP Server is a specialized AI‑driven medical consultation platform that leverages the Model Context Protocol (MCP) to expose a unified interface for both Western and Traditional Chinese medicine expertise. By integrating two distinct medical models—奇黄 (Western medicine) and 智草 (Traditional Chinese medicine)—the server offers clinicians, researchers, and developers a single point of access for generating evidence‑based diagnoses, treatment plans, and health recommendations. This dual‑discipline approach addresses a common pain point in healthcare AI: fragmented knowledge bases that force users to switch between multiple services for complementary medical perspectives.

At its core, the server provides two primary tools. The 西医咨询（奇黄） tool supplies symptom analysis, differential diagnosis, medication guidance, and treatment protocols grounded in contemporary medical science. The 中医咨询（智草） tool, on the other hand, delivers syndrome differentiation, herbal prescriptions, and lifestyle suggestions rooted in centuries of Traditional Chinese medicine practice. Each tool accepts a user query along with optional conversation and user identifiers, returning concise, actionable medical advice that can be seamlessly incorporated into clinical decision support systems or patient‑facing chatbots.

For developers, the MCP server’s value lies in its plug‑and‑play architecture. It runs on Python with FastAPI, making it compatible with existing web stacks and cloud deployments. Authentication is handled via a simple API key, ensuring secure access while keeping integration overhead low. By exposing the tools through standard MCP endpoints, AI assistants can invoke them as part of a broader conversational workflow—contextualizing user inputs, chaining responses, or combining insights from both medical paradigms to provide a more holistic recommendation.

Real‑world use cases include telemedicine platforms that need rapid, culturally sensitive triage; research pipelines that compare diagnostic outcomes across Western and Traditional approaches; and educational tools for medical students seeking to understand the interplay between two major healing traditions. In each scenario, the server’s dual‑model capability eliminates the need for separate APIs, reduces latency by consolidating calls into a single request, and offers developers a consistent interface for error handling and logging.

Unique advantages of the Apus Medical MCP Server stem from its domain‑specific tuning. The underlying models are trained by APUS on both Western and Traditional Chinese datasets, ensuring that terminology, dosage recommendations, and treatment pathways are accurate and contextually appropriate. Coupled with MCP’s resource‑sharing mechanisms, the server can scale to handle concurrent consultations without sacrificing response quality—making it a robust choice for high‑volume healthcare applications.