postgresql-mcp
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.
README
PostgreSQL MCP
A Model Context Protocol (MCP) server that provides AI assistants (like Claude) with tools to directly interact with PostgreSQL databases securely.
<img src="./demo.png"/> <img src="./pgadmin.png"/>
Features
create_table: Create a new table with custom columns.list_tables: List all tables in the public schema.describe_table: Get the schema and column details of a specific table.execute_sql: Execute arbitrary SQL queries.- Web Configurator: A built-in local web UI to securely manage connection strings and generate API keys.
Installation
You can install and run this package easily using uv:
# Run without installing globally
uvx postgresql-mcp
# Or install globally for easy access
uv tool install postgresql-mcp
Setup & Configuration
This project requires an API Key mapped to your PostgreSQL database URL. To easily set this up, we provide a built-in Web Configurator.
1. Generate an API Key
Run the web configurator:
postgresql-mcp-web
Or, if running without global installation:
uvx --from . postgresql-mcp-web
Open your browser to http://localhost:8000. Enter your database URL (postgresql://user:pass@host/db) and click "Generate API Key".
The application securely stores your credentials in ~/.sql-mcp/keys.json and outputs a configuration snippet.
2. Connect Claude Desktop
Copy the generated snippet and add it to your Claude Desktop configuration file (typically located at %APPDATA%\Claude\claude_desktop_config.json on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS).
{
"mcpServers": {
"postgresql-mcp": {
"command": "uvx",
"args": [
"postgresql-mcp"
],
"env": {
"API_KEY": "postgresql-mcp-your-generated-key"
}
}
}
}
Restart Claude Desktop, and your AI assistant will now be able to interact with your database!
Usage Tracking
The server automatically tracks how many times each API key is utilized. You can view this data locally in ~/.sql-mcp/usage.json.
Contributing
We welcome contributions! Please see CONTRIBUTING.md for details on how to get started.
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