PostgreSQL MCP
Give AI direct access to your PostgreSQL database
How to Install PostgreSQL MCP
$npx @modelcontextprotocol/server-postgresRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About PostgreSQL MCP
Read-only Postgres MCP server. Lets the model explore schema and run queries without write access.
PostgreSQL MCP is a Database MCP server designed for developers, analysts, and data teams. It enables querying and managing databases from an AI assistant by exposing schema introspection and SQL execution as MCP tools. Key capabilities include schema introspection across tables and views, parameterised sql execution, read-only and read/write modes, and structured tool calls that work cleanly inside an LLM context. It integrates with Postgres, MySQL, SQLite, MongoDB, Redis, BigQuery, and Snowflake, and is best suited for developers, analysts, and data teams who need ad-hoc analytics without a bi tool.
Key Features
- postgres
- sql
- Schema introspection across tables and views
- Parameterised SQL execution
- Read-only and read/write modes
- Connection pooling and timeouts
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the PostgreSQL MCP website for current pricing.
Pros & Cons
Pros
- Lets the assistant write and run real queries instead of guessing
- Read-only mode is safe to point at production-shaped data
- Skips most ORM and CSV-shuffling boilerplate
Cons
- Misconfigured permissions can expose sensitive data
- Long-running queries need explicit timeouts
- Schema drift requires reconnecting or refreshing context
Best For
- Ad-hoc analytics without a BI tool
- Drafting migrations and reviewing query plans
- Letting non-SQL teammates ask questions of a database
- Bootstrapping internal admin workflows
Screenshots
Screenshots coming soon —
Submit yours →Our Take on PostgreSQL MCP
The official Postgres MCP is read-only by design, which is the right call for most analytics use cases.
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