sql

dbq is a CLI for coding agents to run read-only SQL against Oracle, MySQL, Postgres, and SQL Server with token-light output and built-in safeguards.

Otlet is a Postgres extension for running local LLM inference next to database rows. The README shows SQL examples, model registration, task execution, and an entity-resolution workflow with typed outputs.

Open-source MCP server that exposes SQL databases as tools and prompts for AI agents, with support for MSSQL and PostgreSQL, read-only defaults, and local or remote transport.

A tutorial and live demo showing how to build an AI SQL analyst agent that inspects schema, writes queries, runs them, and explains results using Node.js, OpenAI, Vercel AI SDK, and SQLite.

Dependency-free Python library that compiles a declarative JSON query format into safe, parameterized SQL for LLM workflows, REST APIs, and frontend-backed data tables.

An open-source Redash fork that adds AI-assisted analytics features such as text-to-query, auto-generated visualizations, alert suggestions, and dashboard creation across several AI providers.

Public GitHub repository describing how to access a large Powerset Research GitHub dataset through an MCP server or DuckDB. Includes no-auth access, schema-aware SQL use, and example queries for agents and analysts.