"postgresql" matching MCP servers:

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 users to list, search, and read official versioned PostgreSQL documentation, including archived, beta, and development releases, and retrieve pages as Markdown.

Enables comprehensive PostgreSQL database monitoring, analysis, and management through natural language queries. Provides performance insights, bloat analysis, vacuum monitoring, and intelligent maintenance recommendations across PostgreSQL versions 12-17.

Enables natural language interaction with PostgreSQL databases, converting questions into safe, validated SQL queries and returning verified results.

Enables natural language interaction with PostgreSQL databases, converting questions to safe SQL queries and executing them with result validation.

Enables querying PostgreSQL database metadata including table lists and schema information through the MCP protocol. Supports stdio transport for Cursor/IDE integration as well as HTTP transport with health check endpoints.

A production-grade Model Context Protocol server for PostgreSQL. Lets AI agents safely inspect, query, operate, and tune a Postgres database — over 100 tools spanning catalog introspection, query intelligence, natural-language SQL, structural diffs, hybrid search, graph queries, data movement, live ops, and more.

Enables safe read-only exploration and querying of a PostgreSQL database, listing tables and executing SELECT statements.

An MCP server that provides targeted PostgreSQL schema access to AI agents, retrieving only relevant tables for a question and enforcing read-only access through multiple layers.

Read-only-by-default MySQL/MariaDB, PostgreSQL and SQLite access for AI agents: explore schemas and foreign keys, search, sample, query and EXPLAIN with token-efficient TOON output. Writes only when enabled, always previewed and atomic.

Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.

A secure PostgreSQL Model Context Protocol server that provides read-only database access through tools like schema listing, object inspection, query execution, and EXPLAIN analysis, with database-enforced access control via read-only transactions and a minimal role rather than SQL text parsing.

Diagnoses and manages PostgreSQL logical replication including slot WAL retention, walsender lag, stuck subscriptions, and provides gated remediation tools for safe AI-driven operations.

An MCP server that enables MCP-compatible AI tools to read-only query Azure Database for PostgreSQL Flexible Server using your existing Azure CLI login, with auto-discovery, schema inspection, and arbitrary read-only SQL. No passwords or connection strings are stored; authentication uses short-lived Entra tokens.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

MCP server for Seedfast, which fills PostgreSQL databases with realistic, relationally valid test data generated from live schema, providing tools for planning, running, and inspecting seeding operations.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

Enables AI assistants to run SQL queries against PostgreSQL databases through the psql CLI, with support for multiple configured databases and enforced read-only guarantees.

Local-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.