Yes, Schemabrain is free to use.

How do I install Schemabrain?

Schemabrain is a local plugin. Install it using PyPI package: schemabrain and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What credentials does Schemabrain need?

Schemabrain requires the following credentials or environment variables: DATABASE_URL. You can find setup instructions on the server detail page.

What AI apps work with Schemabrain?

Schemabrain uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Schemabrain MCP Server

by Arun Kc

Developer ToolsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

The trust and intelligence layer between AI agents and your database.

About

The trust and intelligence layer between AI agents and your database.

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

4 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

What You'll Need

Set these up before or after installing:

Postgres connection URL (postgresql+psycopg://USER:PASSWORD@HOST:PORT/DBNAME). The agent never sees this; the URL stays in the env so credentials never appear in argv or logs.Required

Environment variable: DATABASE_URL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-arun-kc-schemabrain": {
      "env": {
        "DATABASE_URL": "your-database-url-here"
      },
      "args": [
        "schemabrain"
      ],
      "command": "uvx"
    }
  }
}

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Schemabrain MCP Server

About

Security Report

Findings (1)

What You'll Need

How to Install

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