Exposes Iceberg-backed ontology objects, links, and actions as typed MCP tools for LLM agents, enabling governed data access and operations without raw SQL.
Enables AI-powered generation of production-ready CTP (ConveniencePro Tool Protocol) tools from natural language descriptions, including tool definitions, implementations, tests, and TypeScript validation.
Enables an LLM to dynamically discover and call tools across multiple MCP servers (file, GitHub, SQL, Python execution) with authentication, rate limiting, and observability, supporting parallel execution and secure deployment.