PostgreSQL - MCP Tool

Inspect database schemas and run read-only queries on PostgreSQL databases through MCP server.

What is PostgreSQL MCP?

PostgreSQL MCP enables Cursor to communicate with PostgreSQL's API directly through the Model Context Protocol. This integration lets AI assistants in Cursor access and manage PostgreSQL resources without requiring you to switch contexts.

Setting Up PostgreSQL MCP

Step 1: Access MCP Settings

Open Cursor and navigate to Settings → Features → MCP section to manage your Model Context Protocol connections.

Step 2: Add PostgreSQL Server

Click the “+ Add New MCP Server” button and fill in the configuration details for PostgreSQL.

Step 3: Configure Connection

Enter the following information:

Name: PostgreSQL
Type: Select the appropriate transport (usually SSE)
URL: Enter the PostgreSQL MCP endpoint
API Key: Add your PostgreSQL API key if required

Step 4: Verify Connection

After adding the server, it should appear in your MCP servers list. Click the refresh button to confirm the tools are available.

Using PostgreSQL with Cursor

Once you've set up the PostgreSQL MCP connection, Cursor can interact with PostgreSQL services directly. Here's how to use it:

Automatic detection: Cursor will recognize when your prompts relate to PostgreSQL and will suggest using the appropriate tools.
Direct reference: You can explicitly mention PostgreSQL in your prompts to activate the integration.
Task approval: When Cursor wants to use PostgreSQL MCP, it will request your approval before executing the action.

Example Use Cases

Here are some ways you can leverage the PostgreSQL MCP integration:

Ask Cursor to fetch information from your PostgreSQL account
Request Cursor to perform routine PostgreSQL operations
Use Cursor to analyze and work with your PostgreSQL data directly

Note:

MCP tools may not be compatible with all AI models in Cursor. For best results, use with Claude models which have the strongest MCP support.

PostgreSQL MCP