iqtoolkit.ai is a self-hosted, open-source AI platform that helps database engineers diagnose and optimize database workloads faster using AI-powered query analysis.[1] ## What iqtoolkit.ai is iqtoolkit.ai centers around **iqtoolkit-analyzer**, a CLI-first toolkit that uses AI to analyze database queries, EXPLAIN plans, and performance data for PostgreSQL and MongoDB, with MySQL and SQL Server planned next. It is designed specifically for database professionals who want AI assistance without giving up control of their data or infrastructure.[1] ## Key capabilities - Surfaces slow queries, missing or ineffective indexes, and plan inefficiencies using AI-generated explanations and recommendations.[1] - Exports rich analysis reports to Markdown, JSON, and HTML (including MongoDB dashboards) for sharing, documentation, and incident reviews.[1] - Provides a modular monorepo architecture with distinct packages for the analyzer CLI, shared Pydantic contracts, an AI copilot service, orchestration gateway.

Privacy-first and self-hosted, iqtoolkit.ai keeps database workloads under your control instead of sending sensitive queries to opaque third-party SaaS. Engineer-first and practical, it is built for DBAs and data engineers who need clear diagnostics, explainable AI, and workflows that plug cleanly into existing terminals, CI, and observability stacks. Open and transparent, it embraces open-source licensing, readable architecture, and extensible contracts so teams can inspect, trust, and extend how AI is applied. Database-specialized, it focuses on real-world query performance, plans, and reliability across modern data platforms rather than generic “AI magic.” Vendor-neutral and future-ready, it is designed to work across clouds, LLMs, and database engines so teams avoid lock-in while steadily adopting AI in a safe, incremental way.