MCP servers for databases: query Postgres, SQLite, and more with AI

AI plus a database is a powerful combination

Most data tools require you to write SQL or use a BI tool built on top of SQL. Database MCP servers remove that requirement. Connect your AI assistant to a database and ask questions in plain English. The AI writes the query, runs it, and returns the results.

For analysts, this means exploring a dataset without writing SQL. For developers, it means debugging schema issues by asking "what tables reference this column?" instead of hunting through migrations.

New to MCP? Read What is an MCP server? to understand the basics, or see How to install an MCP server for setup instructions. Database servers are also featured in the Best MCP servers for developers roundup.

What database MCP servers expose

A typical database MCP server exposes:

Schema tools: list tables, describe columns, show indexes, get foreign key relationships

Query tools: run SELECT queries, explain query plans, show slow queries

Data tools: sample rows from tables, aggregate on columns, search for values

Some servers also expose write operations (INSERT, UPDATE, DELETE), though most production use cases keep the MCP connection read-only.

Postgres MCP server

The Postgres MCP server is one of the most widely used MCP servers. It connects directly to any Postgres database.

Setup:

{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "POSTGRES_CONNECTION_STRING": "postgresql://user:password@localhost:5432/mydb"
      }
    }
  }
}

Once connected, you can ask:

• "What tables are in this database?"
• "Show me the schema for the users table"
• "How many orders were placed in the last 30 days?"
• "Find all users who signed up but never made a purchase"

SQLite MCP server

For local development and personal projects, SQLite is common. The SQLite MCP server works the same way but points to a local file:

{
  "mcpServers": {
    "sqlite": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sqlite", "--db-path", "/path/to/database.db"]
    }
  }
}

Remote database servers

Not all database MCP servers run locally. Some run in the cloud and connect via a URL, so you do not need Node.js installed and your connection string never touches your machine.

This is useful for shared team setups or when your database is cloud-hosted and you do not want to distribute credentials locally. Check the server listing on MCP Marketplace to see whether a remote option is available.

Security: always use a read-only connection

When connecting an AI assistant to a production database, use a read-only database user. Create a dedicated user with SELECT-only permissions:

CREATE USER mcp_reader WITH PASSWORD 'strong-password';
GRANT CONNECT ON DATABASE mydb TO mcp_reader;
GRANT USAGE ON SCHEMA public TO mcp_reader;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO mcp_reader;

This prevents any accidental writes. The AI can explore, analyze, and answer questions without being able to modify data.

Find database servers on MCP Marketplace

Browse database MCP servers on MCP Marketplace, with security scores for each server. You can also find servers for MySQL, BigQuery, Snowflake, and other databases.