Enables AI agents to securely execute queries against various databases without direct credential exposure.
Sponsored
This project establishes a Middleware/Control Plane (MCP) server, offering a secure bridge for AI agents like Gemini, Claude Desktop, and Claude Code to interact with diverse databases such as PostgreSQL, MySQL, MongoDB, and Oracle. It centralizes database connection configurations within an SQLite database, eliminating the need to directly expose sensitive credentials to the AI. This ensures controlled and secure data access, simplifying the integration of intelligent applications with complex database environments.
Key Features
01Centralized database credential management via an SQLite configuration database
02Support for PostgreSQL, MySQL, Oracle, and MongoDB databases
03Command-line interface for easy addition and removal of database connections
04Secure query execution for AI agents across multiple database types
05Out-of-the-box integration and tool discovery for Gemini and Claude AI platforms
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Use Cases
01Securely empowering AI agents with controlled access to various databases
02Building a middleware layer for large language models to interact with enterprise data
03Streamlining database configuration and management for AI-driven applications
