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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Error Recovery Rate Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint failure points and measure recovery performance.

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 · 3 capabilities

The complete Agent Error Recovery Rate Calculator capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Error Recovery Rate Calculator.

  1. 01

    Calculate error distribution

    Provides a breakdown of how many times specific errors occurred

  2. 02

    Parse execution logs

    Extracts a structured sequence of capability call outcomes and error types from raw text logs

  3. 03

    Calculate resilience metrics

    Computes the high-level performance ratios regarding reliability and recovery

Observed, not estimated

853ms average. Fast in production.

Agent Error Recovery Rate Calculator is checked daily against the live service.

Daily averagePeak 985ms
Aug 27Today
Fastest day
714ms
Slowest day
985ms
14-day trend
Improving-9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Agent Error Recovery Rate Calculator, so you can see the experience inside your AI.

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

Agent Error Recovery Rate Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 — Agent Error Recovery Rate Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-error-recovery-rate-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator owners hand off.

This MCP is built for developers, QA engineers, and ML operations specialists. If you build agents that interact with external systems, you need to know how they handle failure. This capability lets you move beyond simple testing and measure true, real-world resilience.

  • 01

    AI Developer

    Use it to test agent logic and determine which parts of your workflow need error handling.

  • 02

    QA Engineer

    Run large batches of test cases to generate failure logs and calculate the overall stability score.

  • 03

    ML Ops Specialist

    Integrate it into your CI/CD pipeline to automatically measure and report on agent performance metrics.

FAQ

Questions Agent Error Recovery Rate Calculator owners ask.

  • 01

    What kind of logs does this MCP analyze?

    It analyzes raw execution logs generated when an AI agent runs. These logs contain the outcomes and error types from the agent's capability calls, which the MCP then structures for analysis.

  • 02

    Can I tell if my agent is reliable after using this?

    Yes. By calculating the resilience metrics, you get a quantitative score that measures how often your agent recovers from failures, giving you a clear measure of its reliability.

  • 03

    Does this require specific programming knowledge?

    No. You simply connect your AI client to Vinkius and provide the logs. The MCP handles the complex parsing and calculation steps for you.

  • 04

    What is the difference between error distribution and resilience metrics?

    Error distribution tells you what errors are happening most often. Resilience metrics tell you how well the agent handles those errors, calculating the overall recovery rate.

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