When you let an LLM turn natural language into SQL, you need to know: is it correct, will it run on your database, and is it efficient? SQLclMCP is an open-source framework that answers those questions by comparing LLM-generated SQL to human-written baselines on Oracle Database — using the Model Context Protocol (MCP) and a 500-question TPC-H benchmark. MCP keeps “how SQL is generated” behind a single HTTP API: the evaluator sends a question and gets back SQL, so you can swap models, prompts, or even the server implementation and still run the same evaluation.