"Ray" matching MCP servers:

Drive VMD headlessly from any MCP client to analyze structures and trajectories, and ray-trace publication-quality images with no display.

A Model Context Protocol (MCP) server that provides access to xraylib X-ray interaction data through a standardized interface. Query cross-sections, fluorescence lines, edge energies, and more from any MCP-compatible client.

GraphRAG MCP server for querying SNOM CT medical terminology via Neo4j, offering graph_search_concept and graph_get_related tools to search and traverse concepts and relationships.

Enables AI coding agents to perform end-to-end medical image analysis locally, from inspecting CT/MRI/X-ray studies and running containerized segmentation models like MedSAM2, TotalSegmentator, and HD-BET to refining masks, measuring volumes, and writing reports. It pairs preset or custom guideline protocols with a code-customizable viewer that renders images back to agents as annotated PNGs and to humans as interactive HTML.

Enables MCP-integrated prescription review with incomplete laboratory evidence, using deterministic rules and language-model guardrails to enforce approval authority boundaries.

Provides AI-powered medical image analysis tools for LLM agents, enabling tasks such as X-ray classification, interactive segmentation, and visual question answering. It supports multi-step diagnostic reasoning and clinical workflows through a suite of specialized medical AI models.

Enables AI-powered dental X-ray analysis and treatment planning using YOLOv11 and clinical guideline RAG, integrated with MCP for use with Claude and other AI assistants.

Enables an agent to query a synthetic fleet of 400 connected medical devices over MCP, including counting devices, ranking by a stored field, and fetching a single device.

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.

Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.