A self-hostable PostgreSQL MCP server for exploring database schemas and running guarded read/write queries with selectable access modes (readonly, readwrite, admin), plus a dry-run confirm workflow for safety.
A production-oriented MCP server for PostgreSQL that exposes database operations like query execution, schema introspection, and table metadata to MCP clients such as Claude Desktop and VS Code.
A secure MCP server that lets AI assistants directly interact with PostgreSQL databases via tools like create_table, list_tables, and execute_sql, plus a web configurator for managing connections.
A comprehensive PostgreSQL MCP server providing 27 tools for database management and administration, including connection management, query execution, schema introspection, CRUD operations, and server monitoring.
Enables natural language interaction with PostgreSQL databases through Amazon Q for querying data, listing tables, and describing schemas. It provides secure, read-only access with automatic row limits to ensure efficient database exploration.
Enables AI agents to interact with PostgreSQL databases through schema intelligence, query execution, and DBA tooling including index analysis and health monitoring. Features configurable access levels and audit logging for secure database operations.
Enables read-only, SELECT-only querying of any Postgres database through MCP-compatible clients like Claude, with schema introspection and guarded SQL execution.
A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
Enables agents to inspect PostgreSQL schemas, run read-only queries and explain plans, and, when explicitly permitted, execute writes and DDL on a per-project database with layered safety controls.