Show HN: SQL MCP Server – 61.37% on DataAgentBench with GLM-5.2

- **MCP (Model Context Protocol)** is a recently introduced open protocol by Anthropic that lets LLM apps (Claude, etc.) talk directly to external data sources, APIs, and tools — think of it as a universal "plugin" system for AI assistants. - **SQL MCP Server** is an open-source project that wraps a SQL database as an MCP-compatible endpoint, so an LLM can query a database natively via the protocol rather than through fragile text-to-SQL prompts. - **DataAgentBench** is a benchmark that tests how well LLM-based agents can perform real-world data analysis tasks (querying, joining, aggregating data). A score of 61.37% means the system got about 61% of those tasks fully correct. - **GLM 5.2** is a large language model developed by Zhipu AI (a major Chinese AI company). The project's authors used it as the LLM backend to drive the SQL queries; the benchmark result suggests the combination of this SQL MCP Server + GLM 5.2 outperforms many prior approaches. - This matters because it points toward a practical, standardized way to give LLMs safe, live access to databases without custom engineering for each database type.