ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Explainability Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the economic impact and infrastructure costs of AI explainability features.

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 Explainability Economics capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Explainability Economics.

  1. 01

    Calculate infrastructure expenditure

    Determines the direct additional cost of hardware and storage needed to support XAI

  2. 02

    Calculate trust roi

    Quantifies the business value gained from increased user confidence

  3. 03

    Estimate compliance benefit

    Calculates the theoretical value of avoiding regulatory fines and legal friction

  4. 04

    Generate economic summary

    Provides a consolidated view of the total cost versus the total benefit

One connector, every AI

AI Explainability Economics 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.

Building your own app? The connector is yours to use.

You don't need a client to put AI Explainability Economics 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

917ms average. Fast in production.

AI Explainability Economics is checked daily against the live service.

Daily averagePeak 951ms
Sep 5Today
Fastest day
917ms
Slowest day
951ms
14-day trend
Stable-4%

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 Explainability Economics, so you can see the experience inside your AI.

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

AI Explainability Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_eSADUUJD8NLb9LIphuUPgxdZOpWEYuM40fhp1OCn/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 Explainability Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-explainability-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_eSADUUJD8NLb9LIphuUPgxdZOpWEYuM40fhp1OCn/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 AI Explainability Economics owners ask.

  • 01

    How do I calculate the total cost of adding explainability?

    You can use the calculate_infrastructure_expenditure capability, which takes into account the explanation method, compute overhead, storage per explanation, and total inferences.

  • 02

    Can I determine if an XAI project is financially viable?

    Yes, by using generate_economic_summary, you can compare the total costs against the compliance value and trust ROI to see if the net economic impact is positive.

  • 03

    What factors influence the compliance benefit?

    The estimate_compliance_benefit capability calculates this based on the customer requirement percentage, the complexity of the explanation method, and the baseline risk exposure.