"Information on Conducting In-Depth Research Techniques" matching MCP servers:

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

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.

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.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

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.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

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

Enables searching ClinicalTrials.gov for studies by condition or keyword and fetching the latest stock prices for company tickers from Yahoo Finance.

Enables AI agents to resolve and cross-reference biological entities such as genes, proteins, and aliases across authoritative databases like HGNC, NCBI Entrez, and UniProt, with confidence scores and source citations.

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.

Exposes a bio-hybrid neuromorphic simulation pipeline (SNN, consciousness proxies, wetware integration) as MCP tools, resources, and prompts for AI assistants.

Enables AI assistants to interact with a bio-hybrid neuromorphic simulation pipeline, including a layered SNN engine, consciousness proxy metrics, NeuroPlatform wetware bridge, and ethics monitoring via 62 MCP tools, resources, and prompts.

Integrates a bio-hybrid neuromorphic simulation pipeline with SNN, consciousness proxies, and bio-computing platform telemetry as MCP tools, resources, and prompts for AI assistants.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

An MCP server that grounds protein research in the UniProt SPARQL endpoint, providing tools for querying proteins, sequences, variants, diseases, and more via intent-named tools and raw SPARQL.

MCP server enabling AI agents to search and retrieve evidence reviews from evipedia.ai on health and longevity interventions, and to suggest new interventions for review.

Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.