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Connect AI Feature Pricing Sensitivity 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. Find the exact price point that maximizes your SaaS revenue.

Ask AI about this Connector

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 Pricing Sensitivity.

  1. 01

    Assess competitive positioning

    This capability evaluates your 'pricing headroom,' showing how much room you have before users are likely to switch to a competitor.

  2. 02

    Get elasticity metrics

    It determines the current price elasticity coefficient for specific AI features, telling you how sensitive users are to price changes.

  3. 03

    Calculate optimal pricing

    Use this to identify the specific price point that will maximize total revenue for any given AI feature.

  4. 04

    Simulate price adjustment

    This function predicts how changing the price of an AI feature will impact both user conversion rates and overall feature adoption.

Real work

What teams actually run

01

Launching a new AI feature

Before release, run a simulation to predict if a $10 price point or a $15 price point generates more revenue.

02

Responding to a competitor's price drop

Use competitive positioning to see if you can afford to drop your price or if you need to raise it to maintain margins.

03

Optimizing existing tiers

Check the price elasticity for a core feature to see if users are highly sensitive, suggesting a tiered pricing change.

04

Targeting a specific margin

Find the optimal price for a premium feature that guarantees a 40% target margin.

One connector, every AI

AI Feature Pricing Sensitivity 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 Pricing Sensitivity 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

878ms average. Fast in production.

AI Feature Pricing Sensitivity is checked daily against the live service.

Daily averagePeak 1100ms
Oct 3Today
Fastest day
686ms
Slowest day
1100ms
14-day trend
Slowing+7%

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 Pricing Sensitivity, so you can see the experience inside your AI.

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

AI Feature Pricing Sensitivity Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_BojJhmaZoGdUbmIkHeblRdlvwXw713OKWyp2XVO0/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 Pricing Sensitivity capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-pricing-sensitivity-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BojJhmaZoGdUbmIkHeblRdlvwXw713OKWyp2XVO0/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 Pricing Sensitivity in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Feature Pricing Sensitivity owners hand off.

Product Managers and Revenue Analysts use this MCP to stop guessing on pricing. If your business relies on AI features and subscription revenue, you need this capability. It gives you the data to set prices that maximize profit and minimize churn.

  • 01

    Product Manager

    Determines which features to prioritize and at what price point they should be sold.

  • 02

    Pricing Analyst

    Runs complex models to find the optimal price that meets specific margin targets.

  • 03

    VP of Product

    Uses the data to justify pricing changes to leadership and stakeholders.

FAQ

Questions AI Feature Pricing Sensitivity owners ask.

  • 01

    Is this MCP only for subscription services?

    No. While it's built for SaaS, it models price elasticity and revenue optimization for any feature that has a defined price point and user adoption curve.

  • 02

    What does 'price elasticity coefficient' mean?

    It's a number that tells you how much user demand changes when you change the price. A high coefficient means users are very sensitive to price changes.

  • 03

    Can I use this to compare multiple features?

    You can run multiple simulations or checks, comparing the predicted revenue and conversion rates across different features or pricing structures.

  • 04

    Does this require me to input historical sales data?

    The MCP is designed to run complex models based on the data you provide through the capability calls, allowing you to test various scenarios.

  • 05

    What is 'pricing headroom'?

    It's a measure of how much you can raise your prices before the risk of losing customers to a competitor becomes too high.

  • 06

    How does this capability help with AI feature pricing?

    It uses price elasticity models to predict how changes in feature pricing will affect user conversion, usage, and total revenue.

  • 07

    Can I simulate a price increase before implementing it?

    Yes, you can use simulate_price_adjustment to predict the impact on conversion rates and churn risk.

  • 08

    Does it account for competitor pricing?

    Yes, the assess_competitive_positioning capability evaluates the price gap between your features and market alternatives.

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