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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Change Management with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the real human and financial costs of AI adoption.

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 AI Change Management capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Change Management.

  1. 01

    Assess adoption risk

    This capability evaluates the likelihood that your AI integration will succeed or fail based on human factors.

  2. 02

    Calculate implementation timeline

    Use this to determine how many months your transformation project will actually take to complete.

  3. 03

    Get cost estimate

    This capability calculates the total financial investment required to manage the change process.

  4. 04

    Get readiness impact analysis

    This capability analyzes how your current organizational state affects the success of your proposed AI investment.

One connector, every AI

AI Change Management 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 AI Change Management 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

943ms average. Fast in production.

AI Change Management is checked daily against the live service.

Daily averagePeak 943ms
Sep 14Today
Fastest day
943ms
Slowest day
943ms
14-day trend
Stable0%

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 AI Change Management, so you can see the experience inside your AI.

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

AI Change Management Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hZO89qQXe58uZTJeMBb6WySY40sJeh08AKPwP6cP/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 — AI Change Management capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-transformation-change-management-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hZO89qQXe58uZTJeMBb6WySY40sJeh08AKPwP6cP/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 AI Change Management

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Change Management owners hand off.

This MCP is built for leaders managing large-scale organizational shifts. It helps bridge the gap between technical deployment and human adoption.

  • 01

    Change Management Leads

    They use the agent to build data-backed implementation plans and budgets.

  • 02

    Operations Directors

    They use the agent to project timelines and resource requirements for new tech rollouts.

  • 03

    HR Executives

    They use the agent to assess how cultural resistance might impact technology adoption.

FAQ

Questions AI Change Management owners ask.

  • 01

    What can this MCP calculate?

    It calculates change management costs, implementation timelines in months, and adoption risk levels.

  • 02

    How does it determine adoption risk?

    It looks at factors like organizational culture, employee resistance, and the level of training support provided.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can use this MCP with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    Does it provide per-employee costs?

    Yes, it can break down total change management costs into a per-employee figure.

  • 05

    How is the timeline calculated?

    The timeline is projected in months based on your organization's readiness and the level of resistance expected.

  • 06

    How does this capability calculate the change management cost?

    The get_cost_estimate capability calculates the total budget by analyzing the transformation scope, the number of affected employees, the required training intensity, and the communication strategy depth.

  • 07

    Can I predict how long an AI rollout will take?

    Yes, you can use calculate_implementation_timeline to estimate the duration in months based on the rollout scope, organizational readiness, and predicted resistance risk.

  • 08

    What factors influence the adoption risk score?

    The assess_adoption_risk capability determines the risk score by evaluating employee resistance, the existing organizational culture, and the level of training provided.

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