iflow-mcp_medadapt-content-server

# MedAdapt Content Server A specialized Model Context Protocol (MCP) server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents. ## Overview The MedAdapt Content Server integrates with Claude Desktop to provide tools for searching, retrieving, and analyzing medical education content. It serves as a bridge between Claude and medical knowledge sources, allowing for enhanced AI-assisted learning experiences. ## Quick Start ```bash # Clone the repository git clone https://github.com/ryoureddy/medadapt-content-server.git cd medadapt-content-server # Install dependencies pip install -r requirements.txt # Run the server python content_server.py ``` ## Features - **Content Search**: Search for medical educational content across multiple sources - **Resource Retrieval**: Fetch complete articles, book chapters, and user documents - **Topic Overviews**: Generate comprehensive overviews of medical topics - **Learning Resources**: Suggest appropriate learning resources based on topic and student level - **Learning Plans**: Create structured learning plans with objectives and resources - **Content Analysis**: Extract key points, methodologies, and findings from medical resources - **User Content**: Import and analyze user-provided documents ## Installation ### Standard Installation 1. Clone the repository: ```bash git clone https://github.com/ryoureddy/medadapt-content-server.git cd medadapt-content-server ``` 2. Create a virtual environment (optional but recommended): ```bash python -m venv .venv source .venv/bin/activate # On Windows, use: .venv\Scripts\activate ``` 3. Install dependencies: ```bash pip install -r requirements.txt ``` 4. Configure (optional): - Get an NCBI API key for improved rate limits: https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/02/new-api-keys-for-the-e-utilities/ - Create a `.env` file based on `.env.example` ## Usag…