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AWS-optimized MCP server for Amazon Aurora PostgreSQL providing natural language database queries, schema inspection, and seamless integration with AWS RDS PostgreSQL-compatible databases.

Natural language Model Context Protocol server for PostgreSQL enabling AI assistants to query any Postgres database using plain English questions, automatically translating to optimized SQL queries.

Enables language models to perform read-only operations on PostgreSQL databases by providing schema inspection and query execution capabilities.

Facilitates read and write operations on PostgreSQL databases, allowing LLMs to interact with database schemas and execute SQL queries.

MCP server providing direct execution access to PostgreSQL databases. Agents can inspect schemas and run SELECT statements to answer questions about data instantly. Supports Docker deployment for self-hosting.

Provides MCP access to AlloyDB for PostgreSQL, enabling AI agents to query and manage fully managed, PostgreSQL-compatible databases with columnar engine for high-performance transactional and analytical workloads. Features serverless scaling, IAM authentication, full SQL operations, and integration with Google Cloud services. Ideal for AI-driven database operations and agent querying; as an official Google-managed GA server, it surpasses generic self-hosted DB MCPs in reliability, maintenance, and scalability.

Universal MCP server for accessing various databases including PostgreSQL, MySQL, SQL Server, SQLite via MCP protocol. Supports SQL query execution, CRUD, schema exploration for agent data retrieval. Compares favorably to direct SDKs by providing a consistent MCP gateway for multiple DB types.

Unified MCP server for database access and querying across multiple SQL databases like SQLite, PostgreSQL, MySQL/MariaDB, SQL Server. Features include CRUD operations, query execution, and schema manipulation via MCP. Suited for AI agent data retrieval, offering a single protocol alternative to multiple direct SDKs.

Unity Catalog MCP Server enables querying and governance of Databricks data assets via MCP protocol. Features SQL-based CRUD and discovery across catalogs and tables. Enables AI agent data retrieval in governed environments, unlike direct SDKs which lack MCP compatibility.

DBHub Database is a universal MCP server connecting AI assistants to multiple databases including MySQL, PostgreSQL, and SQLite for querying and management. It supports broad database compatibility and direct query execution. Perfect for AI agent data access across heterogeneous databases; stands out from single-DB MCP servers like PostgreSQL MCP by offering multi-DB support in one server.

SchemaFlow MCP Server delivers real-time PostgreSQL and Supabase database schema access to AI-IDEs through secure SSE connections via MCP. Key features include tools like get_schema, analyze_database, and check_schema_alignment for live context. Suited for AI agent development workflows; extends PostgreSQL MCP with real-time schema monitoring and Supabase integration.

MCP server providing LLMs with direct execution access to PostgreSQL databases. Enables agents to inspect schemas and run SELECT statements for instant natural language data queries. Supports Docker for self-hosting.

Official remote MCP for Neon PostgreSQL databases. Alternative to local Postgres MCP for cloud-hosted Postgres.

Extension of PostgreSQL MCP Server providing functionalities to create tables, insert entries, update entries, delete entries, and drop tables.

An MCP server to connect to AnalyticDB for PostgreSQL instances, query and analyze data. Enables AI agents to perform analytical queries on cloud-hosted PostgreSQL databases.

MCP Server for Apache AGE (A Graph Extended), enabling AI assistants to interact with the graph database through natural language queries and management operations.

Full access PostgreSQL MCP server providing complete database control.

Zero burden, ready-to-use Model Context Protocol (MCP) server for interacting with PostgreSQL and automation with SSE/stdio mode and i18n support.

MCP Server supporting LLMs integration with SQL Database (SQLite, SQL Server, Postgres SQL).

MCP server for getting schema information from a PostgreSQL database.

MCP PostgreSQL Server providing database interaction through Model Context Protocol.

PostgreSQL DB table access (CRUD support) available as MCP service.

MCP Server for PostgreSQL databases.

Model Context Protocol server providing read-only access to PostgreSQL databases with enhanced multi-schema support for complex database architectures.

MCP server to give client the ability to access SQL databases (MySQL and PostgreSQL supported).

MCP server for interacting with the Neon serverless Postgres platform, enabling AI agents to manage and query serverless PostgreSQL databases.

MCP server that communicates with Nile — Postgres re-engineered for B2B apps — enabling management and querying of databases, tenants, users, and auth using LLMs.

MCP Server for openGauss database and its tools, enabling LLMs to interact with the openGauss relational database through Model Context Protocol.

MCP server for Postgres offering performance analysis and troubleshooting tools, enabling DBAs and developers to analyze and optimize PostgreSQL performance through AI.

Postgres MCP implementation for AI database interaction.

A beginner-friendly MCP server template featuring a PostgreSQL connector with clean, easy-to-understand code.

Model context protocol implementation granting LLMs access to make database queries and learn about Supabase types, enabling seamless integration with Supabase projects.

Distributed SQL database MCP server for CockroachDB, providing AI agents with globally distributed, resilient database operations with PostgreSQL compatibility and multi-region capabilities.

Serverless PostgreSQL MCP server for Neon, providing AI agents with instant database provisioning, branching, and auto-scaling capabilities for modern application development.

Serverless data platform MCP server for Xata, combining PostgreSQL with search, file attachments, and branching for modern application development with AI-powered insights.

A Model Context Protocol server providing semantic search capabilities for PostgreSQL databases using vector embeddings. Performs similarity searches, metadata filtering, and document insertion with automatic embedding generation using pgvector extension.

Zero-dependency, token-efficient database MCP server supporting PostgreSQL, MySQL, SQL Server, MariaDB, and SQLite through a single unified interface for database operations and schema exploration.

Powerful PostgreSQL Model Context Protocol server redesigned from 46 individual tools to 17 intelligent consolidated tools for comprehensive database management, fully Docker-compatible for production environments.

An MCP server for Amazon Aurora PostgreSQL that provides PostgreSQL database operations via the RDS Data API, enabling structured data access and management through MCP-enabled tools.