PostgreSQL
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Enables AI assistants with secure, structured access to PostgreSQL databases via the Model Context Protocol.
About
PostgreSQL is a TypeScript-based Model Context Protocol (MCP) server designed to bridge AI assistants with PostgreSQL databases. It provides a secure and intelligent interface, allowing AI to perform complex database operations, retrieve schema information, and manage data with robust safety features like parameterized queries, required WHERE clauses for updates/deletes, and confirmation for large operations. This tool simplifies database interaction for AI, offering comprehensive capabilities for querying, inserting, updating, and deleting data while prioritizing security and reliability.
Key Features
- Safe Database Operations using parameterized statements to prevent SQL injection
- Comprehensive Tools for querying, inserting, updating, and deleting data with full schema introspection
- Flexible Querying supporting filtering, pagination, sorting, and complex WHERE conditions
- Schema Discovery to get detailed information about tables, columns, constraints, and indexes
- Efficient Connection Pooling for managing database connections
- 0 GitHub stars
Use Cases
- Enabling AI assistants to understand and query PostgreSQL database schemas.
- Allowing AI to perform secure and flexible data retrieval from PostgreSQL.
- Facilitating AI-driven data manipulation (insert, update, delete) in PostgreSQL databases.
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