Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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Health & Wellness · Education & Learning
Medadapt Content Server
ryoureddy/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.
Install
Client configuration
{
"mcpServers": {
"medadapt": {
"command": "/path/to/python",
"args": [
"/path/to/medadapt-content-server/content_server.py"
],
"env": {
"DB_PATH": "<DB_PATH>"
}
}
}
}Environment variables
DB_PATH- GitHub stars
- 2
- Author
- @ryoureddy
- Category
- Health & Wellness, Education & Learning
- License
- MIT
- Updated
- Oct 6, 2026
About Medadapt Content Server
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.
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
Tools (7)
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
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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