"Medical literature search and download service" matching MCP servers:

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

Search 200M+ patents and scientific literature in natural language using PatSnap's global R&D intelligence database.

An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm.

This MCP server provides authoritative medical data from FDA, WHO, PubMed, RxNorm, and Google Scholar, enabling drug information lookup, health statistics retrieval, medical literature searching, and clinical guidelines access directly in AI workflows.

A specialized MCP server that provides a structured interface to the Europe PMC database for biological and clinical evidence retrieval. It enables LLMs to gather, rank, and synthesize published research focusing on therapeutic targets and disease associations.

Self-hosted web search and page fetch service using SearXNG metasearch and Scrapling browser rendering, exposing MCP tools for direct agent use.

An MCP server that provides comprehensive medical information by querying authoritative APIs including FDA, WHO, PubMed, RxNorm, and Australia's PBS, enabling drug searches, health statistics, medical literature, drug nomenclature, and PBS subsidy queries.

Enables users to create frozen, auditable snapshots of selected Markdown or text-layer PDFs and perform read-only, verifiable local searches with SQLite FTS5/BM25, preserving source hashes, schemas, and page/line anchors.

Enables searching Web of Science for CUC SCI papers, downloading PDFs, and syncing results to Tencent Docs through persistent browser automation. Supports advanced queries, deduplication, CAS journal classification mapping, and incremental sync while preserving manual notes.

Enables agents to search and download books from LibGen and Z-Library via MCP tools, abstracting provider details behind neutral labels.

Enables AI assistants to look up medical billing codes, denial reasons, and payer rules for faster claim resolution.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Enables AI-powered medical information retrieval through FHIR clinical document search and GraphRAG-based exploration of medical entities and relationships. Combines vector search with knowledge graph queries for comprehensive healthcare data analysis.

Enables searching and downloading PornHub videos via MCP tools with stealth anti-detection and aria2 for robust downloading.

Provides medical evidence tools including PubMed search, citation verification, clinical trial lookup, drug information, drug interaction checking, PICO extraction, and medical entity recognition via MCP.

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

Provides tools to download YouTube videos and playlists asynchronously, with job tracking and metadata storage via a SQLite database, enabling library management through natural language.

This MCP server provides semantic document search and retrieval, enabling AI assistants to search documents, search categories, and retrieve category hierarchies using the Model Context Protocol.

An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.

An academic paper management tool that enables multi-source research searching, batch PDF analysis, and the generation of comprehensive, cross-literature reviews. It features intelligent token compression and quality evaluation to streamline the literature review workflow for researchers.