"Improving the Intelligence of Large Language Models" matching MCP servers:

Enables MCP-compatible agents to answer open questions about NHS provider performance using live waiting-time data from RTT and My Planned Care, supplemented by CQC quality ratings.

Provides agent-to-agent paid access to motion capture, rehabilitation biomechanics, location threat intelligence, and commercial truck-sighting data via 21 MCP tools with USDC payments.

Query the official Spanish medicines database (AEMPS CIMA) for authorized medicines, their details, and real-time supply shortage alerts without requiring an API key.

Enables searching clinical trials, PubMed, Open Targets, and openFDA data, with optional Vertex AI grounding for regulatory context.

Enables users to query ClinicalTrials.gov using natural language instead of complex API parameters, translating plain English requests into structured API calls and returning organized clinical trial data.

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.

Analyzes clinical trial site feasibility, enrollment velocity, eligibility criteria, and benchmark performance across ClinicalTrials.gov's registry via a structured MCP interface.

High-strategic intelligence platform for life sciences that enables real-time clinical trial audits, competitive landscape mapping, regulatory cross-referencing, and financial milestone correlation using the Model Context Protocol.

Enables checking cosmetic ingredient safety and multi-jurisdiction compliance across 12 regulatory bodies, backed by a comprehensive dataset of safety opinions and studies.

Integrates multimodal large language models with ParaView to enable the creation and manipulation of scientific visualizations using natural language and visual inputs. It features visual feedback capabilities for iterative refinement, making advanced visualization workflows accessible through intelligent automation.

Provides secure access to VA's VistA electronic health record system, enabling AI applications to retrieve and summarize patient medical records for clinical staff.

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.

Enables natural language queries about Swiss mandatory health insurance coverage for medications and medical devices using official BAG lists.

Enables semantic retrieval and assembly of ICD-10-CM value sets from natural language descriptions for clinical cohort definitions.

Connects Claude to the U.S. National Library of Medicine MeSH APIs to search and retrieve medical authority data, descriptors, and qualifiers. It enables library and metadata staff to perform subject analysis and confirm terminology within an AI-assisted cataloging workflow.

Enables language models to search biomedical literature, fetch sequences, and follow links across Entrez databases through eleven read-only tools wrapping the nine NCBI Entrez E-utilities. It handles URL building, pacing, redirects, response caps, and API-key redaction so queries can be answered without a browser or scraping.

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.