"Generating Application System Architecture Schemes" matching MCP servers:

A production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

A RAG-based MCP server for natural language querying of Brazilian healthcare manuals (SIH/SUS, SIA/SUS) and official ordinances. It provides 16 tools for semantic search, regulatory critique analysis, and retrieving data from SIGTAP and CNES.

End-to-end Prior Authorization decision-support system with a multi-agent AI pipeline, MCP Tool Registry, and PostgreSQL backend.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Enables querying FDA regulatory metadata for drugs, biologics, and medical devices through the openFDA API, including resolving application numbers and product names to authoritative regulatory details.

Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.

An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.

Enables controlling desktop ChemDraw from a terminal or MCP-connected assistant to create and edit native molecular structures, reaction schemes, styled figures, and batch exports, with editable CDXML and audit trails.

Provides access to the official FDA DailyMed database for comprehensive drug information, including drug labels, NDC codes, RxNorm mappings, pharmacologic classifications, and FDA application numbers through natural language queries.

An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.

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

Enables searching and retrieving EU/EEA clinical trial records from the Clinical Trials Information System, including trial status, sponsors, medicines, conditions, and authorisations.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables interaction with a comprehensive healthcare management system through FastAPI, supporting operations for patients, doctors, appointments, medical records, telemedicine, lab orders, prescriptions, insurance claims, and more with JWT authentication.

Enables natural language interaction with the Labguru laboratory management system, providing 63 tools across experiments, protocols, inventory, and more.

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

Enables AI assistants to perform genomic variant analysis using OakVar, including running annotation pipelines, managing 200+ annotator modules, querying variant databases, and generating reports in various formats.

Read-only MCP server that lets any LLM query 34 reference APIs of the Japanese ORCA/WebORCA medical billing system, including patients, diseases, medical records, visits, billing, and master data. It is designed for safe, natural-language read access to ORCA data with no write operations.