Which integrations are available for this server?

Provides comprehensive PostgreSQL database management tools including schema inspection, SQL execution, query explanation with EXPLAIN plans, index tuning recommendations, workload analysis, and database health checks with support for pg_stat_statements and hypopg extensions.

How do I use pgsql-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@pgsql-mcp show me the top 5 slowest queries from the last hour" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

pgsql-mcp

License: MIT PyPI - Version

A PostgreSQL MCP server with index tuning, explain plans, health checks, and safe SQL execution.

Features

Database Health - analyze index health, connection utilization, buffer cache, vacuum health, and more
Index Tuning - find optimal indexes for your workload using industrial-strength algorithms
Query Plans - review EXPLAIN plans and simulate hypothetical indexes
Schema Intelligence - context-aware SQL generation
Safe SQL Execution - configurable read-only mode for production use

Quick Start

Claude Code / Cloud IDEs

For Claude Code or cloud-based IDEs, add to your MCP configuration:

{ "mcpServers": { "postgres": { "command": "uvx", "args": ["pgsql-mcp", "--access-mode=unrestricted"], "env": { "DATABASE_URI": "postgresql://username:password@localhost:5432/dbname" } } } }

VS Code / Cursor / Windsurf

Using SSE (recommended for IDEs):

Start the server:

docker run -p 8000:8000 \ -e DATABASE_URI=postgresql://username:password@localhost:5432/dbname \ pgsql-mcp --access-mode=unrestricted --transport=sse

Add to your MCP config (mcp.json for Cursor, mcp_config.json for Windsurf):

{ "mcpServers": { "postgres": { "type": "sse", "url": "http://localhost:8000/sse" } } }

Note: Windsurf uses serverUrl instead of url.

Using stdio:

{ "mcpServers": { "postgres": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "DATABASE_URI", "pgsql-mcp", "--access-mode=unrestricted" ], "env": { "DATABASE_URI": "postgresql://username:password@localhost:5432/dbname" } } } }

Docker

docker pull pgsql-mcp

Run with stdio:

docker run -i --rm \ -e DATABASE_URI=postgresql://username:password@localhost:5432/dbname \ pgsql-mcp --access-mode=unrestricted

Run with SSE:

docker run -p 8000:8000 \ -e DATABASE_URI=postgresql://username:password@localhost:5432/dbname \ pgsql-mcp --access-mode=unrestricted --transport=sse

Python Installation

pipx install pgsql-mcp # or uv pip install pgsql-mcp

Access Modes

--access-mode=unrestricted - Full read/write access (development)
--access-mode=restricted - Read-only with resource limits (production)

Optional: Postgres Extensions

For full index tuning capabilities, install these extensions:

CREATE EXTENSION IF NOT EXISTS pg_stat_statements; CREATE EXTENSION IF NOT EXISTS hypopg;

Available Tools

Tool	Description
`list_schemas`	List all database schemas
`list_objects`	List tables, views, sequences in a schema
`get_object_details`	Get columns, constraints, indexes for an object
`execute_sql`	Execute SQL (read-only in restricted mode)
`explain_query`	Get query execution plans with hypothetical index support
`get_top_queries`	Find slowest queries via pg_stat_statements
`analyze_workload_indexes`	Recommend indexes for your workload
`analyze_query_indexes`	Recommend indexes for specific queries
`analyze_db_health`	Run comprehensive health checks