"Information about community managers or community management" matching MCP servers:

Enables LLM agents to draw and edit ChemDraw reaction schemes, parse ELN exports and LCMS/NMR data, and generate publication-ready CDXML files through grounded chemistry tools.

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.

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.

MCP server for Kenya health system — NHIF/SHA coverage, facility finder, community health workers, maternal health guidance, essential medicines.

Enables AI agents to query the WikiPathways open community pathway database via natural language, part of the Pipeworx MCP gateway.

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.

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.

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

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.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.

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.

A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.

Enables querying clinical trial information from the Chinese Clinical Trial Registry (ChiCTR) by searching trials with keywords, registration numbers, or years, and retrieving detailed trial information.

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

Enables LLM agents to query the CZ CELLxGENE Census single-cell atlas with ontology-aware filters, cost caps, and full provenance, allowing natural language questions about cell types, tissues, and gene expression.

Provides programmatic access to ClinicalTrials.gov API with 18 specialized tools for searching, analyzing, and retrieving detailed information about 400,000+ clinical trials worldwide, including filtering by condition, location, phase, sponsor, eligibility criteria, and outcomes.

Enables users to retrieve chemical safety information including compound properties, GHS safety classifications, and toxicity data from PubChem database using compound names or CIDs. Supports batch queries with caching for efficient chemical safety research and analysis.