The Best MCP Servers for Postgres in 2026

The best MCP server for Postgres in 2026 is Postgres MCP Pro (crystaldba/postgres-mcp), the most-starred option, for deep database work like schema inspection, index tuning, and safe query execution. If you run a managed Postgres, the best fit is the provider's own server instead: Supabase MCP for Supabase and the Neon MCP server for Neon. This guide compares the top five by use case so you can pick the right one for your setup.

How to choose a Postgres MCP server

The right Postgres MCP server depends mostly on where your database is hosted, not on raw features. A self-hosted or generic Postgres is best served by a general-purpose server, while managed Postgres is best served by the provider's own server, which already understands its auth and platform.

The other decision is how much power you want to hand the agent. Read-only inspection is low risk; letting an agent run writes or DDL needs a server with safety controls and, ideally, a read-only mode. As of July 2026, treat write access as something you enable deliberately, not by default.

The best Postgres MCP servers compared

These five cover the common Postgres setups: generic, Supabase, Neon, multi-source SQL, and Google Cloud. Match the server to how your database runs.

Best overall: Postgres MCP Pro

Postgres MCP Pro (crystaldba/postgres-mcp) is the most-starred general Postgres MCP server, aimed at real database work rather than just running a query. It is the default recommendation for a self-hosted or generic Postgres because it is actively maintained and built for inspection and tuning tasks an agent actually needs.

It is the right pick when you want one server that works with any Postgres instance and you value a safety story around what the agent can run. Grab the install command from its Remote OpenClaw listing and add it to Claude Code, Codex, OpenClaw, or Hermes.

Best for managed Postgres: Supabase and Neon

If your Postgres is managed, the provider's own MCP server is the better choice because it understands the platform's auth and APIs. For Supabase, use the Supabase MCP server; for Neon, use the Neon MCP server (neondatabase/mcp-server-neon).

These go beyond raw SQL: they can work with the provider's project and branch concepts, not just the database connection. If you are already on Supabase or Neon, start here rather than with a generic server.

Best for multi-source and cloud: anyquery and GenAI Toolbox

If you need one server across many data sources, anyquery (julien040/anyquery) lets an agent query Postgres and many other systems with SQL through a single MCP server. It is the pick when Postgres is one of several databases you want the agent to reach.

If your Postgres runs on Google Cloud, the GenAI Toolbox (GenAI Toolbox listing) is purpose-built for Cloud SQL and AlloyDB, so it fits that environment better than a generic server.

Limitations and Tradeoffs

No Postgres MCP server is risk-free, and the main tradeoff is write access. Any server that can execute SQL can, if allowed, change or drop data, so run in read-only mode unless you have a specific reason not to, and never point one at production without scoped credentials. GitHub stars indicate popularity, not that a server installs cleanly or is safe for your setup, so verify the current README before wiring one in.

When NOT to use an MCP server for Postgres: if you only need a one-off query, a normal SQL client is simpler and safer than giving an agent database access.

Related Guides

• Smithery vs Remote OpenClaw: Which MCP Directory in 2026?
• Glama vs Remote OpenClaw: Which MCP Directory in 2026?
• The Best AI Tool Directories in 2026
• What Is Hermes Agent? The Open AI Operator Explained