AI agents fail at real company work because dumping PDFs and Slack threads into RAG does not give them how the company actually operates

AI agents deployed inside real companies consistently fail because they are fed raw documents and Slack threads through naive RAG, which developers have identified as an antipattern: agents cannot reason reliably about how a specific company operates from unstructured dumps. No product today pulls a company's fragmented knowledge across tools, structures it as executable operating context, keeps it current, and exposes it through a standard agent interface. This MCP server is that missing layer: a continuously maintained structured company brain any agent can query to understand org-specific policies, workflows, ownership, and context without hallucinating.