[Plugin Request]: Database Query Plugin for Internal Use #431

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opened 2026-02-22 17:28:57 -05:00 by yindo · 1 comment
Owner

Originally created by @IMTTSTR968 on GitHub (Dec 22, 2025).

Plugin Name

nternal Database Query Assistant

Function Description

I am requesting a plugin that allows Dify applications to query internal company databases using natural language.
Core Functionality:
Natural Language to SQL: Users can describe their data question in plain English (or Chinese), and the plugin will generate and execute the corresponding SQL query.
Database Connection: Supports connections to common internal database systems (e.g., MySQL, PostgreSQL, SQL Server) via secure configurations.
Safe Query Execution: Runs queries in a read-only mode or within predefined safe boundaries to protect data integrity.
Result Return: Returns the query results in a structured format (like a markdown table) that the AI assistant can understand and further process or summarize.

Usage Scenario:
Reducing Operational Time: Our operators currently need to log into the U8 system or write complex SQL to get data. This plugin will allow them to simply ask questions in the Dify chatbot interface (e.g., “What were the sales figures for product X last quarter?”), drastically reducing query time and technical barrier.

Empowering AI with Live Data: This plugin will enable our Dify-powered assistants to answer questions based on real-time, live data from our internal databases, making them much more powerful and accurate.

Note: This plugin is designed for internal company use and does not rely on any external third-party SaaS service.

Official Website URL

N/A

Originally created by @IMTTSTR968 on GitHub (Dec 22, 2025). ### Plugin Name nternal Database Query Assistant ### Function Description I am requesting a plugin that allows Dify applications to query internal company databases using natural language. Core Functionality: Natural Language to SQL: Users can describe their data question in plain English (or Chinese), and the plugin will generate and execute the corresponding SQL query. Database Connection: Supports connections to common internal database systems (e.g., MySQL, PostgreSQL, SQL Server) via secure configurations. Safe Query Execution: Runs queries in a read-only mode or within predefined safe boundaries to protect data integrity. Result Return: Returns the query results in a structured format (like a markdown table) that the AI assistant can understand and further process or summarize. Usage Scenario: Reducing Operational Time: Our operators currently need to log into the U8 system or write complex SQL to get data. This plugin will allow them to simply ask questions in the Dify chatbot interface (e.g., “What were the sales figures for product X last quarter?”), drastically reducing query time and technical barrier. Empowering AI with Live Data: This plugin will enable our Dify-powered assistants to answer questions based on real-time, live data from our internal databases, making them much more powerful and accurate. Note: This plugin is designed for internal company use and does not rely on any external third-party SaaS service. ### Official Website URL N/A
yindo closed this issue 2026-02-22 17:28:57 -05:00
Author
Owner

@crazywoola commented on GitHub (Feb 3, 2026):

Hi @IMTTSTR968, thanks for opening this issue.

Why this is being closed

We could not extract an actionable task from the current report.

  • Description contains placeholders instead of concrete details.

Next steps

Please open a new issue that includes:

  • A clear problem statement
  • Reproducible steps or concrete scope
  • Expected result
  • Actual result and logs/screenshots when available

Thanks for understanding and for helping keep the issue tracker actionable.

@crazywoola commented on GitHub (Feb 3, 2026): Hi @IMTTSTR968, thanks for opening this issue. ### Why this is being closed We could not extract an actionable task from the current report. - Description contains placeholders instead of concrete details. ### Next steps Please open a new issue that includes: - A clear problem statement - Reproducible steps or concrete scope - Expected result - Actual result and logs/screenshots when available Thanks for understanding and for helping keep the issue tracker actionable.
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Reference: langgenius/dify-plugins#431