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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Quality Gate Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Get deterministic scores and cost estimates for every agent run.

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 Quality Gate Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Quality Gate Calculator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Quality Gate Calculator.

  1. 01

    Analyze quality trends

    Track the performance of an agent over time and identify patterns of degradation

  2. 02

    Estimate rework impact

    Calculate the business cost associated with agent inaccuracies

  3. 03

    Evaluate output quality

    Perform the core mathematical evaluation of a single agent output against a set of criteria and a strategy

Observed, not estimated

806ms average. Fast in production.

Agent Quality Gate Calculator is checked daily against the live service.

Daily averagePeak 962ms
Aug 20Today
Fastest day
673ms
Slowest day
962ms
14-day trend
Slowing+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 Quality Gate Calculator, so you can see the experience inside your AI.

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

Agent Quality Gate Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Quality Gate Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-quality-gate-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Quality Gate Calculator owners hand off.

This MCP is essential for anyone building production-grade AI workflows. If your business relies on agents generating structured data, code, or summaries, you need a reliable way to validate that output before it gets used. It gives you the metrics necessary to move past 'it mostly works' and achieve true reliability.

  • 01

    QA Engineers

    You use this to build automated, measurable quality gates, moving beyond subjective testing.

  • 02

    AI Product Managers

    You use this to quantify the risk of your AI features and prove the ROI of quality improvements.

  • 03

    Software Developers

    You integrate this MCP into your CI/CD pipelines to automatically validate agent-generated code or data structures.

FAQ

Questions Agent Quality Gate Calculator owners ask.

  • 01

    Is the quality scoring deterministic?

    Yes. The scoring is deterministic. This means that given the same input and the same criteria, the MCP will always return the exact same score and decision. It's reliable for automated systems.

  • 02

    What kind of data can I evaluate?

    You can evaluate almost any structured output, including JSON, code snippets, text summaries, or extracted data. The MCP focuses on the structure and adherence to rules, not the content itself.

  • 03

    Does this MCP handle multiple scoring methods?

    It does. You can choose between strategies like 'all_must_pass', 'majority_vote', or 'weighted_score' depending on how strict your quality requirements are.

  • 04

    How do I use the trend analysis capability?

    You use analyze_quality_trends by providing a historical set of outputs. The capability then calculates metrics like the rolling average and detects patterns of performance decline.

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