"Interactive Network Graph Visualization Tools" matching MCP servers:

Enables clinical question answering via OpenEvidence with citation verification, including tools to ask questions, retrieve results, and follow up, plus an integrated skill to check citations against primary sources.

Provides in-process RDKit cheminformatics operations — descriptors, fingerprints, similarity and substructure search, reaction enumeration, standardization, and 3D conformer generation — for AI agents.

Builds and manages a cardiology-focused knowledge graph in Neo4j by extracting medical entities and relationships from documents using LLMs. It enables users to ingest PDFs, refine extracted data, and perform natural language queries to gain clinical insights.

Enables LLMs and AI agents to query a biomedical knowledge graph stored in RedisGraph, with tools for concept search, synonym enrichment, and study variable discovery through semantic relationships.

Provides FHIR resource validation, synthetic test fixture generation, and HIPAA-safe logging review as MCP tools for AI agents.

A Claude Code extension that embeds a senior athenahealth integration engineer in your development workflow, proactively catching data loss bugs and guiding safe DataView queries and API integrations.

Enables deep probabilistic analysis of single-cell omics data using scvi-tools through natural language. Supports SCVI for scRNA-seq analysis, SCANVI for cell type annotation, TOTALVI for multi-modal RNA/protein data, and PEAKVI for scATAC-seq analysis.

A specialized MCP server for Metal-Organic Framework research that provides tools for database searching, structural optimization, and energy calculations via ASE. It enables scientific workflows by allowing users to interact with MOF data and perform chemical simulations through a standard SSE interface.

Enables LLMs and AI agents to search a biomedical knowledge graph for concepts and study variables, traverse semantic relationships, and look up BioData Catalyst PIC-SURE paths for cohort building.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

Enables searching and fetching articles from PubMed, a database of biomedical literature.

Enables interaction with the CEDAR (Center for Expanded Data Annotation and Retrieval) metadata repository to fetch templates and retrieve template instances. Supports querying structured metadata and biomedical data annotations through the CEDAR platform.

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

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.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Enables searching cryo-EM density maps in EMDB and raw datasets in EMPIAR, with filtering by resolution, keyword, and cross-referencing between the two databases.

An MCP server for clinical workflows with tools for patient lookup, appointment booking, prescriptions, drug interactions, symptom triage, lab results, insurance eligibility, and telehealth, enforcing role-based access control and audit logging.

Connects PyMOL to Claude AI for conversational structural biology, molecular visualization, and analysis through natural language.

Provides read-only tools for planning, writing, and auditing lesion network mapping and connectome-based localization papers, including design classification, methods checklists, phrasebooks, limitations, and manuscript auditing.

Renders interactive 2D molecular structure diagrams from SMILES notation and computes molecular properties like molecular weight, LogP, and TPSA, directly in the chat.