"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.

Enables governance-grade AIops for GPU inference clusters with root-cause analysis, metrics, and policy-governed operations for vLLM and Ray.

MCP server for analyzing OpenTelemetry traces with performance and error diagnosis, supporting loading from files, AWS X-Ray, and CloudWatch.

MCP server that wraps xraylarch for X-ray spectroscopy analysis, enabling loading, processing, analyzing, and plotting XAS/XAFS spectra through natural language.

Exposes NVIDIA Sionna RT ray-tracing as 15 structured tools for AI agents, enabling wireless channel simulation (scene loading, antenna array setup, ray tracing, CSI extraction) through MCP.

Prototype of a Model Context Protocol (MCP) server that provides access to X-ray properties of elements via the XrayDB library.

Exposes global market breadth, volume, RSI, volatility, and sentiment for 12 major equity indices (US + Asia) via 5 tools.

MCP server for space weather and HF propagation conditions — live solar flux, Kp index, DSCOVR solar wind, X-ray flux, alerts, 27-day forecast, and band-by-band outlook through any MCP-compatible AI assistant.

"primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨

Exposes Obsidian notes as a semantic search and RAG knowledge base over MCP, enabling AI assistants to index, retrieve, and analyze personal notes via natural language.

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.

Enables local knowledge base management with retrieval-augmented generation (RAG), providing semantic search, document reading, listing, and Q&A via MCP tools and REST endpoints, all running locally without cloud dependencies.

A Model Context Protocol (MCP) server that provides powerful RAG (Retrieval-Augmented Generation) capabilities for PDF documents. This server uses ChromaDB for vector storage, sentence-transformers for embeddings, and semantic chunking for intelligent text segmentation.

Builds searchable SQLite databases from PDFs, preserving inline image locations for AI agents to discover and caption visual content. Supports full-text search over text, image placeholders, and saved captions.

An MCP server that ingests Spring Boot REST microservices from GitHub, builds a request-flow ontology, and enables natural-language queries about code with flow-aware answers and citations.

A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.

Enables hybrid search and agentic retrieval over Confluence pages via MCP tools, allowing Claude Desktop, Cursor, or Claude Code to search and retrieve Confluence content.

Enables read-only semantic search over a local document corpus with on-device embeddings and a local Chroma store, featuring symlink-hardened file access and structured error handling.

Enables running FDMNES X-ray spectroscopy simulations via natural language, supporting input file creation, job execution, output analysis, and keyword lookup through MCP-aware clients.

Enables hybrid retrieval from a local knowledge base by ingesting PDFs, generating embeddings via Ollama, and querying through MCP tools such as query_knowledge_hub, list_collections, and get_document_summary.