MedAdapt Content Server
About
A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning
Details
- License
- MIT
Explore
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MedAdapt Content ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
pip install -r requirements.txt
1. Clone the repository:
git clone https://github.com/ryoureddy/medadapt-content-server.git
cd medadapt-content-server
2. Create a virtual environment (optional but recommended):
python -m venv .venv
source .venv/bin/activate # On Windows, use: .venv\Scripts\activate
3. Install dependencies:
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
python content_server.py
```
search_medical_content
Search for medical content with filters
get_resource_content
Retrieve complete content for a specific resource
get_topic_overview
Generate comprehensive overview of a medical topic
suggest_learning_resources
Get personalized resource recommendations
import_user_document
Upload user-provided learning materials
generate_learning_plan
Create structured learning plan with objectives
extract_article_key_points
Extract key findings from medical articles
The server provides the following tools to Claude:
- search_medical_content: Search for medical content with filters
- get_resource_content: Retrieve complete content for a specific resource
- get_topic_overview: Generate comprehensive overview of a medical topic
- suggest_learning_resources: Get personalized resource recommendations
- import_user_document: Upload user-provided learning materials
- generate_learning_plan: Create structured learning plan with objectives
- extract_article_key_points: Extract key findings from medical articles
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"medadapt content server": {
"medadapt-content-server": {
"command": "python",
"args": [
"content_server.py"
]
}
}
}
}McpServers
{
"medadapt-content-server": {
"command": "python",
"args": [
"content_server.py"
]
}
}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
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