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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Cohort Analysis with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Track how user groups behave and stay over time.

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 Cohort Analysis capability set.

These are the exact actions your AI can choose when you ask it to work with Cohort Analysis.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Cohort Analysis.

  1. 01

    Analyze decay rate

    This capability measures how fast users are churning within a specific cohort.

  2. 02

    Calculate cohort ltv

    Use this to find the total economic value a specific group of users generates.

  3. 03

    Get retention curve

    This capability visualizes how engagement for a cohort drops off over time.

  4. 04

    Get seasonal adjustment factor

    This capability provides a multiplier to account for behavioral changes caused by the time of year.

One connector, every AI

Cohort Analysis 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 Cohort Analysis 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 Cohort Analysis, so you can see the experience inside your AI.

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

Cohort Analysis Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Vu3X6g9KvOztCpQplJvR74O6BVoba7AZdOKyPGcQ/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 — Cohort Analysis capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cohort-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Vu3X6g9KvOztCpQplJvR74O6BVoba7AZdOKyPGcQ/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 Cohort Analysis

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cohort Analysis owners hand off.

This MCP is for data-driven teams who need to monitor user health without manual calculation. You can hand off the heavy lifting of cohort math to your AI agent.

  • 01

    Growth Marketers

    They ask the AI to check if new user cohorts are more or less valuable than previous ones.

  • 02

    Product Managers

    They use the agent to monitor how feature updates affect long term retention.

  • 03

    Data Analysts

    They offload repetitive LTV and decay rate calculations to the MCP.

FAQ

Questions Cohort Analysis owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 02

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect and start using the capabilities.

  • 03

    Can this MCP help with seasonal data?

    Yes, it includes a capability to get seasonal adjustment factors so you can normalize your cohort data against yearly fluctuations.

  • 04

    How does it calculate user churn?

    It uses the analyze_decay_rate capability to measure the velocity at which users leave a cohort.

  • 05

    Is it possible to see if a cohort has stabilized?

    Yes, you can ask your agent to check if the decay rate has become consistent, which indicates a steady state.

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