PostgreSQL MCP Server

What is PostgreSQL MCP Server?

PostgreSQL MCP Server is a Model Context Protocol (MCP) server that provides a standardized API for interacting with PostgreSQL databases. It enables developers to execute queries, perform database operations, and manage transactions through MCP-compatible clients while using parameterized inputs for secure SQL execution.

How to use PostgreSQL MCP Server?

Clone the repository, install dependencies via go mod download, configure database credentials in a .env file, build with go build -o postgres-mcp, and run the server with ./postgres-mcp. The server exposes four MCP tools—execute_tool, query_tool, transaction_tool, and schema_tool—that accept JSON-formatted requests and return structured responses. A Go client example is provided in the README.

Key features of PostgreSQL MCP Server

• Execute SQL queries with parameterized inputs
• Perform database operations (INSERT, UPDATE, DELETE)
• Execute transactions with multiple statements
• Retrieve database schema information for tables
• Secure parameter handling to prevent SQL injection

Use cases of PostgreSQL MCP Server

• Running SELECT queries and returning result rows with column metadata
• Inserting, updating, or deleting records via parameterized statements
• Executing multiple statements atomically within a single transaction
• Obtaining column names, data types, and nullability for a given table

FAQ from PostgreSQL MCP Server

What MCP tools does the server expose?

The server provides four tools: execute_tool (single SQL statement), query_tool (SELECT queries), transaction_tool (multi-statement transactions), and schema_tool (table schema).

How does the server prevent SQL injection?

All queries must use parameterized inputs (e.g., $1, $2) rather than concatenating user-provided values directly into SQL strings.

What are the runtime dependencies?

The server is written in Go and requires a PostgreSQL database. Database connection details are configured in a .env file using credentials provided by the user.

Can I run multiple statements in a single request?

Yes, the transaction_tool accepts an array of statements and executes them as an atomic transaction, returning results for each statement.

Is SSL/TLS supported for database connections?

Yes, the README recommends using SSL/TLS for database connections in production environments.