Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Enterprise TTV Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify enterprise deployment velocity and onboarding efficiency.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Enterprise TTV Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Enterprise TTV Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Enterprise TTV Engine.

  1. 01

    Calculate ttv metrics

    Calculates the core temporal metrics (TTFV, TTFA, and Efficiency) for a specific enterprise contract

  2. 02

    Analyze onboarding velocity

    Compares the current progress against the planned timeline to determine if the deployment is accelerating or decelerating

  3. 03

    Get complexity tier

    Determines the qualitative complexity tier based on a numerical complexity factor

  4. 04

    Get deployment summary

    Provides a high-level overview of the entire deployment lifecycle for reporting

One connector, every AI

Enterprise TTV Engine 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 Enterprise TTV Engine 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

871ms average. Fast in production.

Enterprise TTV Engine is checked daily against the live service.

Daily averagePeak 937ms
Sep 4Today
Fastest day
786ms
Slowest day
937ms
14-day trend
Improving-7%

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 Enterprise TTV Engine, so you can see the experience inside your AI.

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

Enterprise TTV Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ixZG2EMZxzvxPhxlqHC83mF6oqXTwaPIHFDK4Qrd/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 — Enterprise TTV Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "enterprise-time-to-value-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ixZG2EMZxzvxPhxlqHC83mF6oqXTwaPIHFDK4Qrd/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Enterprise TTV Engine owners ask.

  • 01

    What metrics does this server calculate?

    It calculates Time to First Value, Time to Full Adoption, and Onboarding Efficiency using the calculate_ttv_metrics capability.

  • 02

    How is implementation complexity handled?

    You can use get_complexity_tier to determine the qualitative tier based on a numerical multiplier, which is then used to adjust the baseline for efficiency calculations.

  • 03

    Can I track if my deployment is on schedule?

    Yes, the analyze_onboarding_velocity capability compares current progress against the complexity-adjusted planned duration to determine if you are Ahead of Schedule, On Track, or Behind Schedule.

Explore

More in Enterprise

Suggestions