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SqlKit
AI-native SQL client for 70+ databases
SqlKit is an open-source agentic SQL client for 70+ databases: PostgreSQL, MySQL, SQL Server, Oracle, SQLite, DuckDB, ClickHouse, Snowflake, BigQuery, and more. Describe what you need. The agent writes queries, optimizes slow SQL, explains execution plans, and fixes errors. Bring your own key (OpenAI, Anthropic, DeepSeek, Ollama); credentials never leave your machine. Data Studio MCP connects coding agents like Claude Code and Cursor to your databases. Native Rust + Tauri. Free, Apache 2.0.
Hey Product Hunt. We're the team behind GEEKFUN, the makers of SqlKit.
SqlKit started with a simple annoyance: every database client we tried was heavy (DataGrip needs a JVM), slow (Electron), or paid (TablePlus), and none of them knew anything about our schema. So we built the client we wanted, and we've kept building it in public ever since.
What makes it different:
• An AI agent that reads your schema. Ask in plain language; it writes the SQL, optimizes slow queries, explains execution plans, and fixes errors on the spot. Bring your own key: OpenAI, Anthropic, DeepSeek, or Ollama for local models.
• 70+ databases in one native app (Rust + Tauri, so there's no Java or Chromium to install). PostgreSQL, Oracle, BigQuery, and 60+ more.
• Data Studio MCP. A local MCP server on localhost:9121 connects your coding agent (Claude Code, Cursor, Codex...) to your databases. Reads on by default; writes and DDL only after you approve.
• Your credentials stay in the OS keychain and never touch the LLM. We don't collect telemetry.
• Free and open source under Apache 2.0. Every feature is included.
Try it on macOS, Windows, or Linux, and tell us what to improve next.
Download: https://www.geekfun.club/download
GitHub: https://github.com/geek-fun/sqlkit
About SqlKit on Product Hunt
“AI-native SQL client for 70+ databases”
SqlKit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #83 on the daily leaderboard. SqlKit is an open-source agentic SQL client for 70+ databases: PostgreSQL, MySQL, SQL Server, Oracle, SQLite, DuckDB, ClickHouse, Snowflake, BigQuery, and more. Describe what you need. The agent writes queries, optimizes slow SQL, explains execution plans, and fixes errors. Bring your own key (OpenAI, Anthropic, DeepSeek, Ollama); credentials never leave your machine. Data Studio MCP connects coding agents like Claude Code and Cursor to your databases. Native Rust + Tauri. Free, Apache 2.0.
On the analytics side, SqlKit competes within Developer Tools, Artificial Intelligence, GitHub and Database — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how SqlKit performed against the three products that launched closest to it on the same day.
Who hunted SqlKit?
SqlKit was hunted by blank. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SqlKit including community comment highlights and product details, visit the product overview.
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