Enables AI assistants to run PubMed searches in plain English, download full-text articles from PubMed Central, and map the similar, citing and cited evidence around key papers. It also builds an Obsidian knowledge graph of a study's literature, with retractions flagged and citations traceable to papers the assistant read.
Enables comprehensive biomedical literature research through PubMed database access with advanced search, full-text retrieval, citation analysis, and batch processing capabilities. Supports both local deployment and cloud hosting for seamless integration with AI assistants.
Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.
Enables AI agents to manage virtual clinic data including patients, visits, diagnoses, treatments, lab/radiology orders, and search medical literature and internal knowledge base.
Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.