MCP server to connect LLM agents to any database

Hacker News

Hello everyone, my startup sadly failed, so I decided to convert it to an open source project since we actually built alot of internal tools. The result is todays release Turbular. Turbular is an MCP server under the MIT license that allows you to connect your LLM agent to any database. Additional features are: Schema normalizes: translates schemas into proper naming conventions (LLMs perform very poorly on non standard schema naming conventions) Query optimization: optimizes your LLM generated queries and renormalizes them Security: All your queries (except for Bigquery) are run with autocommit off meaning your LLM agent can not wreak havoc on your database Let me know what you think and I would be happy about any suggestions in which direction to move this project

Visit product View on Hacker NewsMay 24, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, mcp · Missing: mac, macos, cursor

91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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