$ loading_
Enable AI assistants to run PostgreSQL SQL queries and inspect schema metadata.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PostgreSQL MCP Server" yet — see the docs or source repo.
Use PostgreSQL MCP Server to inspect schema information for the `orders` table, and return all columns, data types, primary key, and indexes.
Return the `orders` table columns, data types, primary key, and index structure to support subsequent query writing.
Run this SQL with PostgreSQL MCP Server: `SELECT DATE(created_at) AS day, COUNT(*) AS users FROM users WHERE created_at >= NOW() - INTERVAL '7 days' GROUP BY day ORDER BY day;`, then return the result.
Return a table of user counts grouped by day for the last 7 days, useful for weekly reporting or trend checks.
First check whether `products` has a `price` column with PostgreSQL MCP Server, then run `SELECT * FROM products WHERE price > 100 LIMIT 10;`.
First return schema validation for the target field, then provide the top 10 rows where `price > 100`.
When a developer adopts a new or refactored database, checking schema first quickly validates column names and types, avoiding immediate SQL errors.
Before generating a report with AI, an analyst can read the table schema first to ensure downstream auto-generated SQL matches actual fields.
It is an MCP tool that exposes PostgreSQL database operations to AI assistants, with core capabilities to execute SQL queries and inspect database schema.
Only the PostgreSQL operation capability is provided in the material. Specific connection setup, authentication, and runtime requirements should be checked in the source repository.
It provides a tool-based interface for AI assistants, better suited for conversational and automated workflows; interface details and permission model are available in the source repository.
Lets AI assistants run SQL and inspect PostgreSQL schemas via MCP tools.
Query PostgreSQL, inspect schemas, and run SQL safely with natural language.
Let AI query local PostgreSQL data and inspect table schemas.
Connect AI to PostgreSQL for schema discovery, querying, and optional safe writes.
Connect AI to PostgreSQL for queries, schema management, and data operations.
Query and explore PostgreSQL databases with SQL, tables, and schema inspection.