An open-source MCP server that provides AI agents with advanced PostgreSQL capabilities including index tuning, query plan optimization, and comprehensive database health analysis. It supports safe SQL execution through configurable access modes and offers both stdio and SSE transport options for various development environments.
An open source Model Context Protocol server for PostgreSQL that provides database health analysis, index tuning, query plan exploration, and safe SQL execution for AI agents throughout the development process.
An extended PostgreSQL management and analysis server that provides database professionals with tools for schema management, query optimization, performance monitoring, and health analysis through a collection of specialized functions.
This server enables interaction with PostgreSQL databases through the Model Context Protocol, optimized for the AWS Bedrock AgentCore Runtime. It provides tools for executing read-only queries, exploring database schemas, and monitoring table statistics or slow queries.
Enables interaction with PostgreSQL databases through MCP, allowing users to explore database structures, inspect table schemas, and execute read-only SQL queries.
Enables comprehensive PostgreSQL database management through natural language including queries, schema operations, user management, and administrative tasks. Features enterprise-grade connection pooling, transaction support, and full database administration capabilities.
Enables querying and modifying PostgreSQL databases through MCP tools with read/write operations, schema inspection, and write-safety constraints that limit modifications to the mcp schema.
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.
A universal MCP server that enables AI agents to securely manage PostgreSQL databases, make API requests, and execute SSH commands with features for database analysis, schema editing, and data operations.
Provides AI-driven PostgreSQL database management with secure OAuth 2.1 authentication, enabling users to administer, monitor, and query databases with support for extensions like pgvector, PostGIS, and pg_cron.
Provides secure, read-only access to PostgreSQL databases for schema inspection and data querying. It enables users to list tables, describe structures, and execute SELECT statements while strictly blocking destructive operations.
Enables direct execution of PostgreSQL queries through the Model Context Protocol. Supports both SELECT and non-SELECT operations with dual communication modes (stdio and HTTP REST API).
Enables AI agents to inspect and query PostgreSQL databases safely, with features like listing tables, retrieving schemas, and running read-only SQL queries.
A postgresql mcp that you can run DQL SQL via it
Provides read-only access to PostgreSQL databases, allowing LLMs to inspect table schemas and execute SQL queries. It ensures data safety by running all operations within read-only transactions.
Enables secure, AI-driven PostgreSQL database administration, observability, and querying with support for extensions like PostGIS and pgvector, connection pooling, and advanced tool filtering.
A Model Context Protocol server providing read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries.
A production-ready MCP server that enables safe, read-only SQL SELECT queries against PostgreSQL databases with built-in security validation. It features connection pooling, automatic row limits, and structured logging to ensure secure and reliable database interactions.
Enables AI assistants to interact with PostgreSQL databases using natural language queries, providing secure read-only access to database schemas and SQL translation capabilities.