PostgreSQL / database MCP server

PostgreSQL MCP server for database access.
Useful context, controlled permissions.

Connect a real PostgreSQL schema and its data to AI tools through one hosted MCP endpoint. Keep credentials off developer machines, scope what each link can do, and review PostgreSQL query activity.

1 database + 1 MCP link freeDatabase credentials stay server-sideNo local MCP process
LIVE ROUTEACCESS POLICY / ENFORCED
SOURCEPostgreSQLschema discovered
GATEWAYdatamcpauth · policy · route
CLIENTAI clientshosted MCP link
REQUESTtools/call → productionPOLICY CHECKED
AUTHOAuth 2.0
ACCESSScoped
SECRETSEncrypted
ROUTEHosted

The production path

PostgreSQL context for AI, with boundaries

A PostgreSQL MCP server is a database MCP server that translates requests from AI clients into PostgreSQL schema and query tools. A local server usually runs beside the AI client and reads a connection string from a configuration file. That is convenient for experiments, but it becomes difficult to manage when a team, a production database, or multiple AI clients are involved.

DataMCP runs the MCP layer for you. Add a PostgreSQL connection once, then create separate MCP links for Cursor, Claude, ChatGPT, or teammates. Each link has its own authentication and permission scope.

Need the implementation details first? Compare the best PostgreSQL MCP servers, read the MCP gateway architecture guide, or follow the Cursor and PostgreSQL setup tutorial.

What you get

Production access.
Without production guesswork.

01 / CAPABILITY
LI

Live schema discovery

Expose tables, columns, foreign keys, indexes, and AI-generated descriptions so the client works from your real data model.

02 / CAPABILITY
SC

Scoped SQL permissions

Start with SELECT-only access or choose read-write, full, and per-table permissions for each MCP link.

03 / CAPABILITY
EN

Encrypted credentials

PostgreSQL connection strings are encrypted at rest with AES-256-GCM and never copied into AI client configuration files.

04 / CAPABILITY
PO

PostgreSQL query activity

Review query execution details and permission denials, then export the visible activity page as CSV or JSON.

05 / CAPABILITY
ON

One connection, many clients

Create separate MCP links for Cursor, ChatGPT, Claude, VS Code, or team members without sharing one credential.

06 / CAPABILITY
HO

Hosted transport

Use a stable HTTPS MCP endpoint without running Node.js, Docker, or a long-lived local process.

Source to controlled MCP link

One. Two.
Three.

Connect the source once. DataMCP handles discovery, hosted transport, client authentication, and link policy.

Read the setup guide
  1. 01
    Connect PostgreSQL

    Paste a connection string. DataMCP verifies TLS, connects to the database, and extracts the schema.

  2. 02
    Choose permissions

    Create an MCP link and select read-only, read-write, full, or custom table-level access.

  3. 03
    Add the MCP URL

    Copy the generated configuration into your AI client and start working with the real schema.

Build or use datamcp

Hosted PostgreSQL MCP vs. running it yourself

See what stays on your engineering backlog when the MCP runtime and control layer are managed for you.

CAPABILITYDATAMCPLocal MCP server
DeploymentHosted HTTPS endpoint

Install and run a process per machine

CredentialsEncrypted and kept server-side

Stored in local config or environment

PermissionsPer-link and per-table controls

Usually inherits one database role

PostgreSQL query activityQueries and denied operations available for review

Build or configure separately

Team accessSeparate identities and revocation

Shared config and manual rotation

Frequently asked questions

Questions before
you connect.

Clear answers about architecture, access, credentials, and supported clients.

01

What is a PostgreSQL MCP server?

A PostgreSQL MCP server exposes database tools through the Model Context Protocol so AI clients can inspect schemas and run allowed queries. DataMCP hosts that server and adds client authentication, per-link permissions, encrypted credentials, and PostgreSQL query activity review.

02

Is a PostgreSQL MCP server the same as a database MCP server?

A database MCP server is the broader category. This page covers a PostgreSQL MCP server built specifically for PostgreSQL 12 and newer, including compatible services such as Supabase, Neon, and managed PostgreSQL providers.

03

Does DataMCP work with Supabase, Neon, and AWS RDS?

Yes. DataMCP works with PostgreSQL 12 and newer, including Supabase, Neon, AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, Heroku, DigitalOcean, and self-hosted PostgreSQL.

04

Can I make the PostgreSQL MCP server read-only?

Yes. Each MCP link can be read-only, read-write, full access, or custom. Custom permissions let you control operations table by table while the underlying database role remains an additional security boundary.

05

Will Cursor or ChatGPT see my database password?

No. The connection string stays on DataMCP, encrypted at rest with AES-256-GCM. AI clients receive an MCP endpoint and authentication credentials, not the PostgreSQL password.

06

Which AI clients can connect?

The same hosted MCP endpoint works with Cursor, Claude, ChatGPT, VS Code, Windsurf, Claude Code, and other clients that support remote MCP servers.

Start with one link

Give AI the database context it needs

Connect one PostgreSQL database and create one secure MCP link for free. No credit card and no server to deploy.