Why this server?

This server is a direct and excellent fit as it specifically enables searching and retrieving scientific articles from the PubMed database, a primary source for medical literature, directly addressing '医学文献检索'.

Why this server?

This server provides tools to access the Semantic Scholar API for searching papers, retrieving paper and author details, and fetching citations, covering a broad range of scientific literature that includes medical documents relevant to '医学文献检索'.

Why this server?

This server offers comprehensive academic research capabilities by integrating multiple sources like PubMed, Google Scholar, arXiv, and JSTOR, providing full-text access for a wide range of academic and medical literature, aligning with both '医学文献检索' and '下载'.

Why this server?

This server provides access to various healthcare data tools, including FDA drug information, PubMed research, health topics, and clinical trials, which is highly relevant for searching and analyzing medical-related content ('医学文献检索').

Why this server?

This server provides direct access to the official ClinicalTrials.gov database, enabling programmatic searching, retrieval, and analysis of clinical study data, which is a specific and crucial type of medical literature for '医学文献检索'.

Why this server?

Specializing in querying drug information from the OpenFDA API, this server is relevant for accessing a specific category of medical literature and data related to pharmaceuticals ('医学文献检索').

Why this server?

This server is specifically designed for searching and accessing academic papers through Google Scholar, a widely used platform that indexes a vast amount of scientific and medical literature ('医学文献检索').

Why this server?

This server enables searching and accessing bioRxiv papers, which are preprints in biological sciences and highly relevant for early-stage medical and life science research, directly supporting '医学文献检索'.

Why this server?

Once medical literature is retrieved (downloaded), this server can be used to read and extract text from PDF files, providing essential functionality for processing downloaded content ('下载').

Why this server?

This server empowers intelligent navigation and analysis of lengthy documents, which would include downloaded medical literature, helping users to comprehend and manage the content after retrieval ('下载').