Postgres
Createdtyrchen
Enables AI agents to interact with PostgreSQL databases through a standardized Model Context Protocol (MCP).
About
Postgres is a Model Context Protocol (MCP) implementation designed for PostgreSQL databases, offering a standardized interface for AI agents to interact with databases through well-defined commands. It facilitates database operations, connection management, and SQL validation, ensuring efficient and secure interactions between AI agents and PostgreSQL databases. This tool allows agents to perform tasks like querying, updating, and managing database schemas programmatically.
Key Features
- Executes SELECT queries and data manipulation operations (INSERT, UPDATE, DELETE).
- Creates, drops, and describes tables and indexes.
- 8 GitHub stars
- Validates SQL statements using a built-in SQL parser.
- Manages database connections with connection pooling.
- Supports multiple concurrent database connections.
Use Cases
- Automating database interactions for AI-driven applications.
- Enabling AI agents to perform data analysis and manipulation within PostgreSQL.
- Providing a standardized interface for managing PostgreSQL databases programmatically.