"A server for interacting with PostgreSQL and executing SQL scripts" matching MCP servers:

A Model Context Protocol server for interacting with MSSQL and PostgreSQL databases, offering tools for schema exploration and SQL execution. It features configurable query modes for safety and supports advanced authentication methods like Windows Auth and SSL.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Full-featured MCP server that exposes 36 tools for interacting with PostgreSQL databases, covering schema introspection, query execution, data exploration, performance monitoring, security auditing, and maintenance.

Enables AI clients to safely query PostgreSQL databases using plain English, with read-only access and built-in SQL safety checks.

Provides read-only SQL Server access via MCP tools and a chat interface for natural-language database queries.

Enables AI assistants to safely explore and query MySQL, MariaDB, PostgreSQL, SQLite and StarRocks databases through read-only tools for schema listing, table description, schema search, row sampling, query execution, and plan explanation. Enforces least-privilege accounts, engine-level read-only sessions with timeouts, parsed SQL guardrails, and column masking so runaway or unsafe queries are refused.

A read-only MCP server for SQL Server and PostgreSQL that enables exploring and querying databases (schemas, tables, views, procedures, indexes, foreign keys) and running arbitrary SELECT queries.

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.

Enables AI applications to securely access and manage PostgreSQL data in Azure via MCP tools for querying, updating, and schema operations.

Read-only MCP server for PostgreSQL, enabling schema discovery, table metadata, and safe SELECT queries via READ ONLY transactions.

An extensible read-only MCP server for SQL databases, enabling schema exploration and safe SELECT queries via tools like list_schemas, list_tables, describe_table, and execute_query.

Enables AI clients to interact with PostgreSQL databases through natural language, translating requests into structured queries and returning results via a secure self-hosted server.

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.

A production-ready MCP server that connects AI assistants to any PostgreSQL database with 25 tools and role-based access control.

Read-only MCP server for SQL databases (SQLite/PostgreSQL) that enables listing tables, describing schemas, and executing SELECT queries with safety guardrails.

A general-purpose PostgreSQL MCP server with full read-write SQL access, atomic multi-statement transactions, and schema inspection. Works with any PostgreSQL instance — local, Supabase, AWS RDS, or self-hosted — and connects to Claude, Cursor, Windsurf, or any MCP-compatible AI client.

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.

Enables seamless interaction with MySQL, PostgreSQL, and SQLite databases through the Model Context Protocol. Supports executing SQL queries and inserting data across multiple database types with flexible connection string configuration.

Enables AI agents to interact with PostgreSQL databases over HTTP/JSON-RPC, supporting SQL queries, schema introspection, table/index analysis, EXPLAIN query planning, role and privilege inspection, and database monitoring.

Gives AI coding tools reviewed access to PostgreSQL, MySQL, SQL Server, and SQLite databases, letting read-only queries run instantly while every data or schema change pauses for human approval in a review dialog. It also exposes schema introspection for agents and a way to open the connection manager.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

Enables AI assistants to inspect PostgreSQL schemas and table metadata, preview SELECT queries with capped rows, and receive write or DDL statements for manual review without execution.

Enables users to interact with PostgreSQL databases through natural language, with GitHub OAuth authentication and role-based access control.

A postgresql mcp that you can run your DQL SQL though it

Enables natural language and SQL querying across SQLite, MySQL, PostgreSQL, and MongoDB databases with support for bulk operations and schema inspection. It features a safety mechanism requiring explicit user confirmation for destructive actions like data modification and deletion.

NestJS-based MCP server for MySQL with session-level database selection and SQL safety controls. Enables executing SQL queries, listing databases, and connecting MySQL users with configurable safe modes.

Enables running parameterized SQL queries against a PostgreSQL database via an MCP tool.

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.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.