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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Error Recovery Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Model recovery strategies and calculate ROI for system reliability.

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 Error Recovery Economics capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Error Recovery Economics.

  1. 01

    Analyze user experience impact

    Quantifies the intangible damage to user trust and retention caused by errors

  2. 02

    Calculate prevention roi

    Determines if investing in error reduction is financially sound

  3. 03

    Compare recovery strategies

    Compares the cost of "Retry-heavy" vs "Fallback-heavy" architectures

  4. 04

    Get error cost summary

    Calculates the total direct financial loss caused by AI errors

Observed, not estimated

869ms average. Fast in production.

AI Error Recovery Economics is checked daily against the live service.

Daily averagePeak 1271ms
Aug 27Today
Fastest day
762ms
Slowest day
1271ms
14-day trend
Improving-35%

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

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

AI Error Recovery Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kgwOd6Q0SAbimPFnFjAsm6LUneLAejFRzONNQsRN/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 Error Recovery Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-error-recovery-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kgwOd6Q0SAbimPFnFjAsm6LUneLAejFRzONNQsRN/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

Who it's for

Built for the work AI Error Recovery Economics owners hand off.

If you're responsible for the reliability or financial health of an AI product, this MCP is for you. It moves the conversation beyond 'it failed' to 'how much did it cost us.'

  • 01

    Product Manager

    Use it to justify feature improvements by quantifying the current cost of failure.

  • 02

    CTO / Engineering Lead

    Use it to compare the cost-effectiveness of different system architectures.

  • 03

    Risk Analyst

    Use it to model the financial impact of potential AI inaccuracies before deployment.

FAQ

Questions AI Error Recovery Economics owners ask.

  • 01

    Does this MCP calculate emotional damage?

    It quantifies intangible damage to user trust and retention, which is a proxy for emotional or reputational damage. It provides a measurable impact score rather than an emotional reading.

  • 02

    What kind of data do I need to run this?

    You need data points like your error rate percentage, the cost associated with retrying a request, and the cost of falling back to a secondary system.

  • 03

    Can I use this to compare different system designs?

    Yes, the MCP includes a capability that compares the total cost of 'Retry-heavy' versus 'Fallback-heavy' architectures, helping you pick the most efficient design.

  • 04

    Is this only for financial losses?

    No. While it calculates direct financial loss, it also assesses the non-monetary impact on user experience and trust.

  • 05

    What is ROI in this context?

    ROI stands for Return on Investment. The MCP uses it to determine if the money you spend on preventing errors (like fine-tuning) saves you more money than it costs.

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