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Connect Startup Onboarding Effectiveness to your AI

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. Turn onboarding data into actionable product insights.

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 Startup Onboarding Effectiveness.

  1. 01

    Calculate retention correlation

    This capability determines if successful onboarding is actually driving long-term user retention. It links early user behavior to long-term engagement.

  2. 02

    Compare segment performance

    This capability evaluates onboarding effectiveness across different user tiers or categories. Use it to see if certain user groups struggle more than others.

  3. 03

    Analyze funnel dropoffs

    This capability identifies which specific steps in your onboarding process cause the most user attrition. It pinpoints exactly where you are losing people.

  4. 04

    Get onboarding score

    This capability calculates a single health score representing how effectively users are being onboarded. It provides a high-level metric for your product health.

Real work

What teams actually run

01

Fixing Funnel Leaks

Identify which specific step in your signup flow is causing the most users to quit.

02

Validating Product Changes

Check if a new onboarding flow actually improves your overall health score.

03

Segment Analysis

See if enterprise users have a different onboarding experience than free tier users.

04

Retention Strategy

Determine if getting users to their first value faster leads to higher 30-day retention.

One connector, every AI

Startup Onboarding Effectiveness 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 Startup Onboarding Effectiveness 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

936ms average. Fast in production.

Startup Onboarding Effectiveness is checked daily against the live service.

Daily averagePeak 1144ms
Oct 3Today
Fastest day
789ms
Slowest day
1144ms
14-day trend
Improving-16%

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 Startup Onboarding Effectiveness, so you can see the experience inside your AI.

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

Startup Onboarding Effectiveness Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ONVPc07pGzBl1nFTdcwUurJd4N0i3kkYhheefJIX/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 — Startup Onboarding Effectiveness capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "startup-onboarding-effectiveness-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ONVPc07pGzBl1nFTdcwUurJd4N0i3kkYhheefJIX/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 Startup Onboarding Effectiveness in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Startup Onboarding Effectiveness owners hand off.

This MCP is built for product teams who need to quantify the user experience. It helps move from gut feelings to data-driven decisions.

  • 01

    Product Managers

    They use the AI to monitor onboarding health and justify product changes.

  • 02

    Growth Engineers

    They use the capability to find and fix funnel dropoffs to improve conversion.

  • 03

    Data Analysts

    They use the MCP to quickly run correlation checks between onboarding and retention.

FAQ

Questions Startup Onboarding Effectiveness owners ask.

  • 01

    What can this MCP do for my product analytics?

    It allows your AI client to calculate onboarding health scores, find funnel dropoffs, and correlate onboarding success with user retention.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    How does it help with user retention?

    It uses the calculate_retention_correlation capability to see if successful onboarding actually drives long-term retention.

  • 04

    Can I compare different user groups?

    Yes, the compare_segment_performance capability lets you evaluate onboarding effectiveness across different user tiers or categories.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

  • 06

    How is the onboarding score calculated?

    The score is a composite metric derived from the inverse of Time to First Value and support ticket volume, combined with the completion rate.

  • 07

    Can I compare different user segments?

    Yes, you can use compare_segment_performance to evaluate how different user tiers, such as core or premium, perform during onboarding.

  • 08

    How do I identify where users are dropping off?

    Use the analyze_funnel_dropoffs capability by providing the number of users at each step to identify the specific bottleneck step index.

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