Use Startup Onboarding Effectiveness with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Quantify onboarding success by analyzing speed to value, completion rates, and retention.
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.
Complete set · 4 capabilities
The complete Startup Onboarding Effectiveness capability set.
These are the exact actions your AI can choose when you ask it to work with Startup Onboarding Effectiveness.
01-04
4 capabilities in this set.
Part of 4 available through Startup Onboarding Effectiveness.
- 01
Compare segment performance
Compares onboarding effectiveness across different user tiers or categories
- 02
Analyze funnel dropoffs
Identifies which specific steps in the onboarding process cause the most user attrition
- 03
Calculate retention correlation
Determines if successful onboarding is actually driving long-term user retention
- 04
Get onboarding score
Calculates a single health score representing how effectively users are being onboarded
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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.
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.
https://edge.vinkius.com/vk_preview_ONVPc07pGzBl1nFTdcwUurJd4N0i3kkYhheefJIX/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Startup Onboarding Effectiveness capabilities are ready to use.
{
"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? How to give Claude access to Startup Onboarding Effectiveness
FAQ
Questions Startup Onboarding Effectiveness owners ask.
- 01
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.
- 02
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.
- 03
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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