PubMed FAQs

Question 1

What is the PubMed MCP Server?

Accepted Answer

The PubMed MCP Server allows AI assistants to easily search, access, and analyze PubMed articles using a simple Model Context Protocol (MCP) interface. It bridges the gap between AI models and the vast repository of biomedical literature on PubMed.

Question 2

How can I use the PubMed MCP Server with an AI assistant?

Accepted Answer

After installation, configure your AI assistant (e.g., Claude Desktop) to use the server by providing the appropriate command and arguments in the assistant's configuration file.

Question 3

What features does the PubMed MCP Server offer?

Accepted Answer

Key features include keyword and advanced PubMed searches, fast access to paper metadata, detailed metadata retrieval, attempted PDF download, and specialized prompts for deep paper analysis.

Question 4

How do I install the PubMed MCP Server?

Accepted Answer

The server can be installed through Smithery using CLI commands for clients like Claude, Cursor, Windsurf, and Cline. Alternatively, you can clone the GitHub repository and install the required dependencies using pip.

Question 5

What MCP tools are available?

Accepted Answer

The PubMed MCP Server provides tools like 'search_pubmed_key_words', 'search_pubmed_advanced', 'get_pubmed_article_metadata', 'download_pubmed_pdf', and 'deep_paper_analysis' to perform a variety of research tasks.

PubMed

About

Key Features

Use Cases