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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Feature Value Realization with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint adoption roadblocks and accelerate business impact.

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 Value Realization capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Feature Value Realization.

  1. 01

    Analyze complexity impact

    Determines how much the complexity of a specific use case will naturally extend the expected time to value

  2. 02

    Calculate ttv metrics

    Calculates the primary performance indicators for AI feature value delivery

  3. 03

    Get acceleration recommendations

    Suggests specific ways to shorten the time to value based on current performance

  4. 04

    Validate milestone readiness

    Checks if a user is on track to reach a milestone based on their current interaction history

Observed, not estimated

868ms average. Fast in production.

AI Feature Value Realization is checked daily against the live service.

Daily averagePeak 921ms
Aug 28Today
Fastest day
836ms
Slowest day
921ms
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 Value Realization, so you can see the experience inside your AI.

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

AI Feature Value Realization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_eUP7CnBJLcUPjEin2ay7Hfjg5YLybRikVFub3HZg/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 Value Realization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-value-realization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_eUP7CnBJLcUPjEin2ay7Hfjg5YLybRikVFub3HZg/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 Value Realization owners hand off.

If you're building a SaaS product and need to prove that your AI features actually drive business results, this MCP is for you. It helps product teams move past vanity metrics and focus on true user adoption and ROI.

  • 01

    Product Manager

    Use it to identify which features are failing to gain traction and where to focus your next development sprint.

  • 02

    Data Analyst

    Use it to calculate and compare Time to Value (TTV) across different user segments and complexity levels.

  • 03

    Product Owner

    Use it to validate if a user base is ready for a major feature release or if they need more guided onboarding.

FAQ

Questions AI Feature Value Realization owners ask.

  • 01

    What is Time to Value (TTV) in this context?

    TTV measures how quickly a user realizes the core business benefit from your AI feature. It's not just about sign-ups; it's about when they achieve measurable success using the capability.

  • 02

    Does this MCP require me to store my data on Vinkius?

    No. You connect your AI client to Vinkius, and the MCP processes the data you provide to calculate the metrics. Vinkius hosts the MCP, but it doesn't own your raw interaction data.

  • 03

    How do I know if a feature is too complex?

    You use the analyze_complexity_impact capability. It determines how much the difficulty of a specific use case naturally extends the expected time to value, giving you a clear warning.

  • 04

    Can I use this for multiple user types?

    Yes. The capabilities allow you to segment data by user type, letting you compare the TTV and adoption rates between standard users, power users, and executives.

  • 05

    What kind of data does this MCP need?

    It requires AI interaction data, including timestamps of first use, milestone dates, and confirmation rates, to calculate accurate performance indicators.

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