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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Feature Adoption Analytics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn raw usage data into clear product growth models.

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 Feature Adoption Analytics capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Feature Adoption Analytics.

  1. 01

    Calculate adoption metrics

    This capability provides a snapshot of current adoption progress and projects the feature's future trajectory.

  2. 02

    Evaluate retention impact

    Use this to determine if a specific feature is a primary driver of user loyalty.

  3. 03

    Predict usage segmentation

    This capability categorizes your user base into usage tiers to separate power users from casual ones.

  4. 04

    Simulate growth scenarios

    This capability lets you model how adjusting product variables affects future adoption rates.

One connector, every AI

Feature Adoption Analytics 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 Feature Adoption Analytics 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.

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 Feature Adoption Analytics, so you can see the experience inside your AI.

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

Feature Adoption Analytics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Le74ELteNgoiGDAC6NxIt3AoKsK63ogoqWJr21tq/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 — Feature Adoption Analytics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "feature-adoption-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Le74ELteNgoiGDAC6NxIt3AoKsK63ogoqWJr21tq/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? How to give Claude access to Feature Adoption Analytics

See all the AI clients this connector works with ↑

Who it's for

Built for the work Feature Adoption Analytics owners hand off.

This MCP is built for product teams who need to move fast without losing sight of user behavior.

  • 01

    Product Managers

    You hand off raw usage data to the AI to get immediate adoption and retention insights.

  • 02

    Product Analysts

    You use the capability to run complex growth simulations and segmentation models.

  • 03

    Growth Leads

    You use the modeling capabilities to test how onboarding changes might affect long-term growth.

FAQ

Questions Feature Adoption Analytics owners ask.

  • 01

    How do I use this MCP with Claude?

    You connect to the MCP through the Vinkius platform. Once connected, your Claude client can immediately call the capabilities to analyze your product data.

  • 02

    What kind of data do I need to provide?

    You provide usage counts, retention percentages, or user frequency logs. The AI uses this data to run the specific analytics capabilities.

  • 03

    Can I use this to predict future growth?

    Yes. You can use the simulate_growth_scenarios capability to model how changing product variables will affect your future adoption.

  • 04

    Does this replace my existing analytics dashboard?

    It acts as an intelligence layer on top of your data. It's designed to turn raw numbers into specific insights like retention lift or user segmentation.

  • 05

    Is my data secure?

    Vinkius hosts and manages the MCP, ensuring your connection to your AI client is stable and secure.

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