Provides AI assistants with contextual access to Berlin Group Open Finance API specifications, enabling specification-compliant guidance through semantic search, graph database queries, and document retrieval.
Enables AI agents to traverse SysML v2 model graphs, query requirements, and perform impact analysis for model-based systems engineering. It allows agents to interact with plain-text models to automate documentation and refine system architectures.
Provides AI assistants with offline, deterministic access to WindUI's structured metadata for component, theme, and icon lookup, enabling accurate UI generation without relying on the AI's internal training.
Enables language-model agents to create, modify, analyze, and persist process-engineering diagrams (P\&IDs and flowsheets) in machine-readable formats via the Model Context Protocol.
Enables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.
