MCP Postgres Query Server

MCP Postgres Query Server is an MCP server that provides a secure, read-only interface to query PostgreSQL databases from AI assistants. Built for software engineers, database administrators, and data analysts using Claude Desktop and other MCP-compliant clients, it enables users to inspect records, investigate production issues, and explore database structures without risking accidental modifications. The server strictly permits only SQL SELECT statements, running inbound commands through an internal validation layer before passing them to the database pool. Furthermore, it incorporates an automatic ten-second query timeout to prevent runaway executions and resource exhaustion. Database responses are returned as structured JSON payloads containing result rows, total row counts, and column field metadata. Because credentials and connection URIs are passed through launch arguments rather than committed configuration files, the server maintains clean separation of secrets while giving language models direct read access to relational datasets.

Category: Databases & Data Stores

Tags: database, postgresql, read-only, SQL

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How to install and configure MCP Postgres Query Server

  1. Clone the repository and install dependencies: bash git clone https://github.com/RathodDarshil/mcp-postgres-query-server.git cd mcp-postgres-query-server npm install npm run build 2. In Claude Desktop, open Settings > Developer > Edit Config to modify claude_desktop_config.json. 3. Add the server under the mcpServers object: json { "mcpServers": { "postgres-query": { "command": "node", "args": [ "/path/to/your/mcp-postgres-query-server/dist/index.js", "postgresql://username:password@hostname:port/database" ] } } } 4. Update the path to your compiled dist/index.js file and replace the PostgreSQL connection string with your database credentials. 5. Save the file and restart Claude Desktop.

What you can do with MCP Postgres Query Server

  • Executing read-only SQL queries to inspect live production data and verify application state directly from Claude Desktop. * Validating user records, configuration rows, and foreign key relationships across relational schemas without manual database client switching. * Safeguarding database integrity during AI interactions through enforced SELECT statement validation that blocks all write commands. * Terminating long-running or unoptimized queries automatically after a ten-second safety timeout to avoid resource exhaustion. * Formatting PostgreSQL result sets, row counts, and metadata directly into structured JSON for downstream LLM analysis.

Key facts

  • https://github.com/RathodDarshil/mcp-postgres-query-server
  • Databases & Data Stores
  • database, postgresql, read-only, SQL

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What is MCP Postgres Query Server?

MCP Postgres Query Server is a Model Context Protocol server that exposes read-only querying capabilities for PostgreSQL databases to AI assistants like Claude Desktop. It connects securely over SSL and returns query results as structured JSON.

Which MCP clients work with MCP Postgres Query Server?

It is designed to work with Claude Desktop and any client that implements the standard Model Context Protocol. Configuration requires registering the server executable in the client configuration file with a valid PostgreSQL connection string.

Does MCP Postgres Query Server support database write operations?

No. The server includes a validation mechanism that strictly enforces read-only access. It permits only SQL SELECT queries and blocks write operations such as INSERT, UPDATE, or DELETE to prevent unintended database changes.

What happens if a PostgreSQL query runs too long?

The server features built-in query timeout protection. Any SQL query that executes for longer than ten seconds is automatically terminated to protect database performance and prevent resource exhaustion.

What license does MCP Postgres Query Server use?

The project is open source and distributed under the ISC license. Source code and contribution guidelines can be found on its GitHub repository.

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