MedAdapt Content Server MCP Server

@ryoureddy

Basic information

About MedAdapt Content Server MCP Server

A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning

MedAdapt Content Server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "medadapt-content-server": {
      "command": "python",
      "args": [
        "content_server.py"
      ]
    }
  }
}

MedAdapt Content Server MCP Server tools

Search for medical content with filters

Retrieve complete content for a specific resource

Generate comprehensive overview of a medical topic

Get personalized resource recommendations

Upload user-provided learning materials

Create structured learning plan with objectives

Extract key findings from medical articles

Overview

What is 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.

How to use MedAdapt Content Server?

Clone the repository, install Python dependencies with pip install -r requirements.txt, and run python content_server.py. Integrate with Claude Desktop by adding a server entry in claude_desktop_config.json pointing to the script and setting the DB_PATH environment variable. Optionally populate initial topic mappings with python populate_topics.py.

Key features of MedAdapt Content Server

Search medical content across multiple sources with filters
Retrieve complete articles, book chapters, and user documents
Generate comprehensive topic overviews and learning plans
Provide personalized learning resource recommendations
Import and analyze user-provided learning materials
Extract key points and findings from medical articles

Use cases of MedAdapt Content Server

Medical student asking Claude for a big‑picture overview of the cardiac cycle
Clinician seeking recent research articles about COVID‑19 treatment options
Second‑year medical student receiving a structured learning plan for stroke pathophysiology

Frequently asked questions

What runtime dependencies does it require?

Python installed along with the packages listed in `requirements.txt`. A virtual environment is optional but recommended.

How can I handle API rate limiting when searching PubMed or NCBI Bookshelf?

Obtain an NCBI API key from NCBI’s website and add it to your `.env` file. This improves rate limits and prevents slow or failed responses.

How do I configure the database path correctly?

Set the `DB_PATH` environment variable in your Claude Desktop configuration to an absolute path (e.g., `/absolute/path/to/medadapt-content-server/medadapt_content.db`). This prevents `sqlite3.OperationalError` file access issues.

Can I import my own documents for analysis?

Yes, the server provides the `import_user_document` tool to upload and analyze user-provided medical learning materials.

Is there any authentication or access control for the server?

No authentication is built in. The server is intended for local use with Claude Desktop; the optional NCBI API key enhances PubMed/Bookshelf access rates but is not required.

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