Use cases · MCPENROUZ

AI configuration review through MCP

Compare project settings, documentation and the intended environment. A first review only needs read access to configuration examples.

Free2 devices · 100 tool calls per hour
Example task
Compare the README and example configuration. Find conflicting ports and variables without opening a secrets .env file.
Your device · your permissions
01

Consistency

Find conflicting addresses, variable names and ports in project files.

02

Documentation

Compare startup instructions with actual settings.

03

Change plan

Review the expected effect of each change.

Get started

  1. Select examples without secrets

    Allow configuration templates. Exclude files containing live passwords and tokens.

  2. Describe the target environment

    Specify the OS, startup method and expected service addresses.

  3. Review recommendations

    Ask for the file and setting for each issue. Apply changes after review.

Example task

A prompt for your AI
Compare the README and example configuration. Find conflicting ports and variables without opening a secrets .env file.

Permissions

Read file contents reach your AI client. Exclude live secrets from a general review.

Details

Templates and a live service

Discuss variable names rather than secret values. Applying changes to a running service requires a separate result check.

Application version

Check the application version and documentation: available settings can differ between releases.

Frequently asked questions

Must I share .env?

An .env.example without live secrets is often enough to review structure.

Can AI fix it immediately?

Review recommendations and separately allow writes in the required directory.

How do I verify a change?

Use application configuration validation and a runtime check. Commands need terminal permission.

Next steps

MCPENROUZ · FREE

Connect a device. Start with reads.

Choose a working folder and AI client. Add writes and terminal access as your task requires.