Keenable SELECT is an MCP server that lets agents query the web directly using SQL, combining web search and semantic extraction into single queries instead of reading through individual pages. It handles the filtering and data extraction server-side, reducing the LLM token cost of web research.

• Instead of returning ten links for an agent to read, SELECT runs one query across 1,000+ pages, filters with exact WHERE clauses, and extracts fields with a single LLM call per matching row.
• The system uses semantic operators (WEB_SEARCH, WEB_FETCH, SEM_EXTRACT, SEM_MATCH) embedded directly in SQL statements, which the server parses and executes before returning results as plain columns.
• Research agents use the select tool to iteratively write and run queries until they answer a question, then generate shareable HTML reports via a second agent that builds the page from structured result sets.