Provides RAG (Retrieval Augmented Generation) access to technical documentation through MCP, enabling LLMs to search and retrieve relevant documentation on-demand.
Enables MCP-capable agents to retrieve live, task-scoped context from a curated ontology, providing relevant direction, decisions, and constraints for a given task.
Connects AI assistants to a team's product knowledge base, enabling search, capture, and navigation of glossary terms, business rules, decisions, and relations via MCP.