• CORE
  • EXTRA
  • LOGIC
  • HUMAN

How to validate MVP feature scope with your AI

Connect Scope Containment Prover to your AI client. Your agent will then audit your feature ideas against your core product goals.

Ask AI about this page

Short answer

How do I stop my AI from suggesting too many features for my MVP?

Your AI compares every proposed feature against your strict MVP definition. It flags anything that doesn't serve the primary goal, leaving you with a focused list. You'll see exactly which ideas are core requirements and which are just distractions.

The outcomes of scope validation.

Where your feature list lands.

The AI sorts your ideas into these four categories.

CORE

Essential features identified

The AI isolates the non-negotiable items required for launch. You get a list of features that directly solve your primary problem.

EXTRA

Wish list items flagged

The agent identifies features that exceed your initial scope. These are marked as distractions to prevent feature creep.

LOGIC

Justification provided

The AI explains why it kept or cut specific items. You'll see the reasoning behind every decision made.

HUMAN

Edge cases for you

The AI flags ambiguous features that need your final call. You decide if these items belong in the first release.

The workflow

What your AI does when the feature list arrives.

The AI acts as a gatekeeper for your product roadmap.

  1. Set boundaries

    Your AI ingests your core product goals and constraints to establish a baseline for what counts as an MVP.

    validate_scope_containment

  2. Audit features

    The agent runs every proposed feature through the containment logic to check for alignment with your goals.

    validate_scope_containment

  3. Filter scope

    The AI separates the must-haves from the nice-to-haves, grouping the extra fluff into a separate list.

    validate_scope_containment

  4. Finalize report

    The agent produces a final breakdown of the validated scope and the rejected items.

    validate_scope_containment

Try it

Copy these to start.

Use these prompts to begin the validation process.

Starting points

Swap the bracketed text for your actual product goals or feature lists.

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

  • Validate this feature list against my MVP goal: [insert goal].

  • Check these proposed features in my Google Doc for scope creep: [insert link].

  • Review my product requirements document and flag anything that isn't essential for a V1 launch.

  • Compare this list of user stories against my core value proposition: [insert description].

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

Start here

Connect Scope Containment Prover once, then ask.

One click connects this MCP to your preferred client. Your credentials stay encrypted and your workflow stays in your hands.

Connect Scope Containment Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically delete features from my project management tool?

    No. The AI only analyzes and flags features. You must manually move or delete items in your tools.

  • 02

    Does the AI decide what the MVP is?

    No. You provide the core definition and constraints. The AI simply enforces them against your list.

  • 03

    Can it handle large product requirement documents?

    Yes. The AI reads through the provided documentation to establish the scope boundaries.

  • 04

    Will it suggest new features to add to the MVP?

    No. The tool is designed for containment, not expansion. It focuses on cutting, not adding.

  • 05

    How does it know if a feature is 'essential'?

    It uses the specific constraints and goals you provide during the initial setup to judge every item.

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

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