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Postgres MCP Server

Connect your coding agent to PostgreSQL. postgres-mcp lets you generate queries and run analytics, design database schemas, diagnose performance of the server and queries, securely manage connections, and import data. It is compatible with any MCP client — GitHub Copilot, Claude Code, Codex, Open Code, Cursor, VS Code, and more.

• npm: https://www.npmjs.com/package/@microsoft/postgres-mcp • No install required — run it straight from npx.

Quick start

1. Save a connection profile

Create a named profile once — the password is stored in your OS keyring, never in a config file:

Profiles created by connection add permit write tools unless access_mode: ro is set. For autonomous agents that should not write, use an explicit read-only profile and a read-only database role — see Read-only profiles.

2. Add postgres-mcp to your coding agent

The server speaks MCP over stdio. Point your client at npx @microsoft/postgres-mcp run — no credentials go in the client config; the coding agent discovers and connects to your saved profile at runtime.

GitHub Copilot CLI, Claude Code, Cursor & Claude Desktop — clients that use the mcpServers format (~/.copilot/mcp-config.json, mcp.json, .cursor/mcp.json, claude_desktop_config.json, …):

Running headless or in CI, without a keyring? The server can also take a database connection string from the environment — see Connecting without a profile in the guide.

3. Ask your coding agent

"List the tables in my PostgreSQL database." "Show me the 10 most recent orders from my PostgreSQL database." "What's slowing down my PostgreSQL server right now?"

The agent calls the server's tools (postgres_mcp_connect, postgres_mcp_query, postgres_mcp_db_context, …) for you.

What it can do

| Area | Tools |

| Connections | list / add / remove profiles, connect, disconnect, list databases | | Query | read‑only SQL (postgres_mcp_query), DDL/DML (postgres_mcp_modify) | | Schema | fetch CREATE scripts for tables, indexes, functions, sequences… | | Data | describe a CSV, bulk‑load a CSV via COPY | | Diagnostics | probe server capabilities, collect performance metric groups |

See the usage guide for tools, configuration, authentication (including Microsoft Entra ID), TLS, and the security model.

Security in one minute

• The server doesn't decide what's allowed — your database does. It just passes requests along to PostgreSQL and runs them as the database user in your connection profile. It can't tell the difference between a request you meant to make and one the AI invented or was tricked into making, so anything that database user can do, the AI can do. What actually protects you is the permissions you give that user, the approval prompts in your MCP client, and the model you choose to run. See Security model for who's responsible for what, plus a checklist for locking things down. • postgres_mcp_query is read‑only. Omitted profile access_mode permits write tools; set access_mode: ro and use a read-only database role unless writes are intentionally delegated. • Microsoft Entra ID (AAD) is selected automatically for Azure profiles without a stored keyring password. Store a profile password to use password authentication instead. • Local file reads (postgres_mcp_bulk_load_csv, postgres_mcp_describe_csv) are limited to the MCP server's startup working directory by default and paths allowed with allow-access-to-path . A file allows only itself; a directory allows recursive access. • Secrets are scrubbed from error messages before they leave the process.

See more info about security model in the usage guide.

Requirements

• Node.js 22+ (to run via npx). • Linux x64/arm64, macOS x64/arm64, or Windows x64. Windows ARM uses x64 emulation. • A reachable PostgreSQL database — local, Docker, on‑premises, Azure Database for PostgreSQL, Amazon RDS/Aurora, Google Cloud SQL/AlloyDB, or any wire‑compatible server.

Changelog

See CHANGELOG.md for release notes.

License

Licensed under the MIT License © Microsoft.

Description from the npm listing.