anyquery

Why we included this project

Developers and analysts who already know SQL get a single query layer over data that usually lives scattered across GitHub, Notion, Airtable, Salesforce, and local files. You write a SELECT statement and the engine fetches rows from whichever source, so you stop gluing together vendor-specific APIs for what should be a simple question. Treating your SaaS stack as one database makes sense for ad-hoc reporting and routine operational queries. The same engine also works as an MCP server, which lets an LLM assistant pull live data on demand instead of relying on stale context. It is a practical tool for teams that want their existing SQL skills to reach the platforms they actually run on.