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Medical RAG - Clinical Decision Support & Healthcare Knowledge Retrieval

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "maxi-moss-test-mcp": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "maxi-moss-test-mcp": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "maxi-moss-test-mcp": { "command": "npx", "args": [] } } }

About This MCP Server

The io.github.maxi-moss/test-mcp server is a search tool that enables remote semantic search capabilities, potentially building on the Medical RAG model for searching clinical guidelines, drug interactions, diagnoses, and electronic health record data. It connects to AI coding assistants to provide relevant information and context for developers working with medical or healthcare-related projects. A developer would reach for this tool when needing to integrate advanced search functionality into their application, particularly in the medical domain.

Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The Medical RAG - Clinical Decision Support & Healthcare Knowledge Retrieval server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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