"PostgreSQL" matching MCP servers:

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.

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.

A Model Context Protocol server that enables interaction with PostgreSQL databases for analyzing setups, debugging issues, managing schemas, migrating data, and monitoring performance.

Enables secure querying of PostgreSQL databases through MCP-compatible clients. Supports read-only SQL execution, table exploration, and connection management with built-in security validation.

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.

It connects an agent to a PostgreSQL database so it can inspect schemas, run validated reads and writes, resolve fuzzy names via trigram search, and perform or store pgvector embedding searches. Vector and hybrid search operate through an OpenAI-compatible embeddings endpoint, letting agents query by text without handling embedding arrays.

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.

Enables user name resolution and team management with PostgreSQL backend, providing fuzzy user lookup, batch operations, team hierarchy navigation, and calendar insights through natural language queries.

Enables Claude to interact with PostgreSQL databases by executing SQL queries, exploring schemas, and monitoring database health. It provides tools for data manipulation and schema management via a secure SSE connection.

Enables secure read-only access to PostgreSQL databases, allowing users to list tables, query schemas, execute SELECT statements, and inspect table structures through natural language interactions.

Enables LLMs to interact with PostgreSQL databases by providing tools to inspect table schemas and execute read-only SQL queries. It ensures data safety by running all operations within read-only transactions.

Provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries within a secure transaction context.

Enables authenticated, role-scoped MCP clients to read the caller's synthetic employee profile and support requests, with Operator-only creation of support requests. Access is enforced through Entra roles, fixed parameterised SQL, row-level security, and private PostgreSQL connectivity without arbitrary SQL exposure.

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.

A Model Context Protocol server providing LLMs read-only access to PostgreSQL databases for inspecting schemas and executing queries.

A Model Context Protocol server that provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only queries.

Enables AI assistants to query and manage local PostgreSQL databases through SQL execution and schema exploration tools. It supports both read-only queries and write operations including table creation and data modification via natural language.

A Model Context Protocol server that enables performing PostgreSQL database operations (create, read, update, delete) on User and Post entities through MCP tools.

Enables AI assistants to safely interact with PostgreSQL databases through read-only operations, providing schema discovery, table inspection, and query execution capabilities with structured context awareness.

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.

Provides AI assistants with safe, controlled access to PostgreSQL databases with read-only defaults, granular permissions, query safety features, and schema introspection capabilities.

Enables interaction with PostgreSQL databases through a production-ready MCP server with global connection pooling, automatic AWS password rotation, and comprehensive SQL operations. Supports multiple concurrent Claude sessions while maintaining efficient connection limits to the database.

A Model Context Protocol server that provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only queries.

Provides read-only access to PostgreSQL databases, enabling users to list tables, view table structures and statistics, and execute SELECT queries safely through natural language.

Provides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries.

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

Enables AI assistants to monitor and operate PostgreSQL databases through natural language queries, covering performance analysis, bloat detection, lock/deadlock monitoring, autovacuum and schema inspection, and maintenance recommendations with read-only, extension-optional workflows across PostgreSQL 12–18.

Enables AI assistants to perform PostgreSQL database operations, monitoring, and management via natural language, covering performance analysis, bloat detection, lock/deadlock monitoring, autovacuum and schema inspection with read-only production-safe queries.

Enables AI assistants to perform read-only PostgreSQL DBA and monitoring tasks, including performance analysis, bloat detection, lock/deadlock monitoring, autovacuum and schema inspection across PostgreSQL 12–18. It supports natural-language queries against production-safe, RDS/Aurora-compatible connections, with optional query analytics via pg_stat_statements or pg_stat_monitor.