"A search for academic or research papers" matching MCP servers:

Monitors PubMed and medRxiv for configurable research topics, summarizes papers using a local LLM, and stores deduplicated results in a local database.

Enables searching and retrieving molecular hydrogen medical literature from H2 Papers database, with per-paper safety notes always included in results.

Provides a standardized interface for AI assistants to search biomedical literature and clinical trials, combining evidence from multiple sources and offering a prompt for structured research briefs.

Enables interaction with synthetic NIH-style clinical research data through tools for searching publications, querying patient metadata, analyzing AAA measurements, and retrieving protocol guidance.

MCP server for PubMed search and literature summarization

Enables comprehensive medical research by querying and analyzing data across ClinicalTrials.gov, PubMed, and FDA databases with AI-enhanced cross-database insights, risk assessments, and competitive intelligence.

An evidence-first investment research MCP server that combines official disclosures, market data, and domain-specific evidence for Korean biotech companies like Samsung Biologics, Daewoong Pharmaceutical, and Lunit.

Enables dental research and clinical intelligence by providing tools to search PubMed, systematic reviews, verify citations, and query ClinicalTrials.gov directly from Claude Web and Claude Desktop.

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

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

Enables querying Chinese medical information (drugs, diseases, doctors, symptoms) from the Dayi platform with structured output and auto-type detection.

Enables agents to search six clinical-trial channels (global registries, Chinese registries, CDE drug-trial data, and offline snapshots) through one sealed endpoint, merging results only on confirmed registration identity and returning per-source terminal states, coverage caveats, and data cutoffs. This ensures a missing or empty answer can never be silently mistaken for proof that no trial exists.

A Model Content Protocol server that provides enhanced tools to search and retrieve academic papers from PubMed, with features including MeSH term lookup, publication count statistics, and PICO-based evidence search.

Enables biomedical research workflows via MCP, including experiment and document search, PDF text extraction, evidence retrieval, and validation with provenance tracking.

Enables AI assistants to query ClinicalTrials.gov and PubMed for research evidence, and to compare regulatory document changes against internal files, with strict read-only access and no ability to modify or export data.

Enables scenario-based clinical communication practice through MCP tools for discovering scenarios, starting sessions, sending practitioner turns, and receiving evidence-linked evaluation feedback.

Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

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 diabetes management by retrieving real-time glucose readings from Dexcom continuous glucose monitors and searching for carbohydrate content of foods to help make informed dietary decisions.