• LEAN CODE
  • JUSTIFIED DESIGN
  • SCOPE LOCK
  • HUMAN REVIEW

How to prevent AI over-engineering with your AI

Connect this MCP to your agent to enforce strict scope boundaries. It stops feature bloat before it hits your codebase.

Ask AI about this page

Short answer

How do I stop my AI from adding unnecessary features?

The Scope Containment Prover forces your agent to defend every proposed feature against YAGNI principles. It uses scope validation to reject architectural bloat that doesn't serve the immediate requirement. You get a lean, focused implementation.

The outcomes.

Where your project lands.

The agent shifts from a feature-generator to a disciplined architect.

LEAN CODE

Minimalist architecture

The AI strips away speculative features. You get code that solves the specific problem without extra weight.

JUSTIFIED DESIGN

Reasoned decisions

Every new component must pass a logic check. Your agent explains why a feature is necessary or why it should be cut.

SCOPE LOCK

Strict boundary enforcement

The agent stays within the lines of your original prompt. It prevents the drift that leads to massive technical debt.

HUMAN REVIEW

Final say remains yours

The AI flags controversial architectural shifts. You decide if a deviation is actually worth the complexity.

The workflow

What your AI does when a requirement arrives.

The agent uses the MCP to audit its own logic against your constraints.

  1. Analyze requirements

    The agent reads your prompt to establish the baseline scope. It identifies the core problem that needs solving.

    validate_scope_containment

  2. Audit proposed features

    The agent checks every suggested addition against the original goal. It looks for anything that violates YAGNI.

    validate_scope_containment

  3. Justify or reject

    The agent provides a reason for every piece of code it writes. It rejects features that add complexity without value.

    validate_scope_containment

  4. Confirm containment

    The agent runs a final check to ensure the solution stays within the defined boundaries. It reports back on the final scope.

    validate_scope_containment

Try it

Copy these to start.

Use these prompts to trigger the scope enforcement immediately.

Starting points

Swap out the bracketed text for your specific project details or file paths.

Scope Containment Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_xIyXFLpRAGOgmqLP0Tdt7rR41ka6TleZEKIb6bTG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Scope Containment Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "scope-containment-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xIyXFLpRAGOgmqLP0Tdt7rR41ka6TleZEKIb6bTG/mcp"
    }
  }
}
Copy into chat04

  • Review this Python script in my current repo and use the Scope Containment Prover to reject any features that aren't strictly necessary for the core logic.

  • I'm planning a new React component for this dashboard; use the MCP to ensure I don't over-engineer the state management.

  • Analyze the requirements in this README.md and validate that my proposed architecture doesn't violate YAGNI principles.

  • Check this SQL schema against my project scope and tell me if any of these tables are speculative bloat.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Scope Containment Prover once, then ask.

One link connects the MCP to your agent. Your credentials stay encrypted, and you can find the full technical details on the Connector page.

Connect Scope Containment Prover to your AI

FAQ

How the Scope Containment Prover behaves.

  • 01

    Does the AI automatically delete my code?

    No. The AI only provides justifications and suggestions. You remain in control of all file edits and deletions.

  • 02

    Can the AI change my project requirements?

    No. The agent uses your requirements as a fixed boundary to judge its own work.

  • 03

    How does it know what is 'unnecessary'?

    It uses the YAGNI principle to compare every proposed feature against the specific task you defined in your prompt.

  • 04

    Will it stop me from adding features I actually want?

    It will flag them. If you decide a feature is necessary despite the YAGNI check, you can override the agent's suggestion.

  • 05

    Does it work with any AI client?

    Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • More questions about Scope Containment Prover? The Connector page answers them. See everything the Scope Containment Prover Connector can do

Connect Scope Containment Prover to Claude, Cursor, ChatGPT & more