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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Feature Pricing Sensitivity with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Find the exact price point that maximizes your SaaS revenue.

Included with plan

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

Complete set · 4 capabilities

The complete AI Feature Pricing Sensitivity capability set.

These are the exact actions your AI can choose when you ask it to work with AI Feature Pricing Sensitivity.

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.

Observed, not estimated

811ms average. Fast in production.

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

Daily averagePeak 1050ms
Aug 28Today
Fastest day
737ms
Slowest day
1050ms
14-day trend
Stable+3%

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

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.

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