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Connect AI Feature Upsell Correlation to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pinpoint exactly how AI usage drives upgrades and growth.

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Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Feature Upsell Correlation.

  1. 01

    Identify upgrade triggers

    Pinpoint specific conditions that suggest a user is ready to upgrade

  2. 02

    Analyze tier impact

    Evaluate how different subscription tiers influence the effectiveness of AI features

  3. 03

    Calculate revenue attribution

    Translate the abstract lift into actual dollar amounts to justify AI investment

  4. 04

    Calculate upsell lift

    Calculate the percentage increase in upgrade probability attributed to AI feature usage

Real work

What teams actually run

01

Justifying AI Investment

A founder needs to prove the value of a new AI module to investors. They run the MCP to calculate the revenue attribution, showing a clear dollar return on the development cost.

02

Optimizing Onboarding Flows

A product team wants to know when to prompt a user to upgrade. They use identify_upgrade_triggers to build a system that alerts them when a user hits a usage threshold on a basic feature.

03

Pricing Model Review

A pricing analyst wants to know if their 'Pro' tier is actually worth the cost. They use analyze_tier_impact to see if the AI features are more effective for users on the highest tier.

04

Measuring Feature Success

A marketing team needs to report the success of a new AI feature launch. They use calculate_upsell_lift to show the percentage increase in upgrades directly tied to the new feature's adoption.

One connector, every AI

AI Feature Upsell Correlation works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AI Feature Upsell Correlation to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

853ms average. Fast in production.

AI Feature Upsell Correlation is checked daily against the live service.

Daily averagePeak 1120ms
Oct 3Today
Fastest day
736ms
Slowest day
1120ms
14-day trend
Slowing+31%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Feature Upsell Correlation, so you can see the experience inside your AI.

It does not authenticate your account with AI Feature Upsell Correlation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Feature Upsell Correlation Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_o7UthbwlZ6Sg5XpqirlXKWAlaRg54PwMhmyuzh9G/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 — AI Feature Upsell Correlation capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-upsell-correlation-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_o7UthbwlZ6Sg5XpqirlXKWAlaRg54PwMhmyuzh9G/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AI Feature Upsell Correlation in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Feature Upsell Correlation owners hand off.

This MCP is essential for Product Managers, Conversion Rate Optimization (CRO) specialists, and SaaS Founders. If your job involves linking product features to actual revenue, this capability is for you. It moves the conversation beyond 'Is the feature cool?' to 'How much money does this feature make?'

  • 01

    Product Manager

    Use it to prioritize feature development by quantifying which AI capabilities drive the highest upgrade probability.

  • 02

    CRO Specialist

    Use it to identify the exact user behaviors that signal a conversion opportunity, allowing you to optimize your upgrade funnels.

  • 03

    Revenue Operations Lead

    Use it to build clear ROI reports that attribute specific revenue growth directly to AI feature adoption.

FAQ

Questions AI Feature Upsell Correlation owners ask.

  • 01

    Does this MCP tell me if my AI features are good?

    It doesn't tell you if they're 'good' in a general sense. It tells you if they are good for your bottom line. It quantifies the financial impact, specifically how AI usage drives upgrade probability and revenue.

  • 02

    Do I need to worry about data volume?

    The MCP is designed to handle the metrics needed for SaaS revenue models. It provides capabilities to calculate both the percentage lift and the actual dollar value of that growth.

  • 03

    Can I use this with different AI clients?

    Yes. Since it's hosted on Vinkius, you connect your client once, and it gives you access to the entire catalog, including this MCP, regardless of whether you use Claude, Cursor, or another compatible agent.

  • 04

    What kind of data does it analyze?

    It analyzes user behavior, subscription tier data, and feature usage frequency. This allows it to pinpoint specific triggers that suggest a user is ready for an upgrade.

  • 05

    How is the upsell lift calculated?

    The calculate_upsell_lift capability compares the upgrade rate of users who use AI features against the baseline rate of users who do not.

  • 06

    Can I identify users ready to upgrade?

    Yes, by using identify_upgrade_triggers, you can detect when a user's interaction frequency with gated features suggests they are ready for a higher tier.

  • 07

    How does this help with revenue forecasting?

    The calculate_revenue_attribution capability translates the observed lift into specific dollar amounts, helping you justify AI development costs.

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