"Information about Atlassian MCP" matching MCP servers:

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

An MCP server that lets an LLM answer a pharmacist's question about drug shortages by normalizing drug names, finding pharmacologic alternatives, and checking their shortage status using public FDA and NLM data.

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.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.

A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. This server provides tools to search and retrieve information about healthcare providers and organizations in the United States.

An MCP server that enables AI assistants to query U.S. FDA public datasets, including drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory information.

MCP server that lets AI assistants query current, dated information about PatientNotes, an AI medical scribe, covering pricing, features, languages, compliance, and competitor comparisons.

Enables searching LOINC codes and retrieving detailed information including panel members and answer options via the LOINC Search API.

Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.

Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.

Enables users to interact with the CUF health portal to retrieve patient information, appointments, clinical documents, invoices, and prescriptions through natural language.

Bridges your Nightscout CGM data with AI assistants via the Model Context Protocol, enabling natural language queries about glucose readings, treatments, statistics, and pattern analysis.

Enables querying the WormBase database for C. elegans and nematode genomics data, including gene information, protein sequences, phenotypes, interactions, and expression patterns through natural language.

Enables interaction with FHIR APIs, specifically for Oracle Millennium Platform, providing tools to access and manage healthcare data such as patient records, clinical data, and administrative information.

Enables searching and retrieving Korean disease information and statistics from the Health Insurance Review and Assessment Service (HIRA) using Claude.

Enables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.

Enables querying FDA drug label information including adverse reactions, warnings, and indications via natural language.

Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.

Provides fast lexical and optional semantic search over NiiVue neuroimaging visualization library documentation and API reference. Enables LLMs to query guides, retrieve API documentation from TypeScript source, and access structured information through cached BM25 and embedding-based search.