"Zig" matching MCP servers:

Enables AI agents and their users to ask business questions in plain language and receive governed metric values, breakdowns, share-of-total figures, and the exact parameterized SQL behind them, drawn from a single semantic model rather than ad-hoc SQL. It also lets clients inspect available metrics and their definitions, and preview optimized queries without executing them.

Enables SQL query execution and database structure browsing via MCP tools and resources.

A server that provides enterprise data services including company information, profiles, business details, shareholders, investments, branches, and key personnel through keyword search and specific queries.

Enables natural-language queries on Trino big data platforms, generating validated, schema-aware SQL via RAG and local LLM inference, and exposes metadata, query, and profiling tools through MCP.