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Connect Agent Quality Gate Calculator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get deterministic scores and cost estimates for every agent run.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

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

Real work

What teams actually run

01

Code Generation Review

After an agent writes a function, use the MCP to score it against format and security criteria before committing the code.

02

Data Extraction Validation

If an agent pulls data from a document, run it through the quality gate to ensure all required fields are present and correctly formatted.

03

Summary Quality Control

When an agent summarizes a long report, use the MCP to check for completeness and adherence to specific length or tone guidelines.

04

Workflow Risk Assessment

Before launching a new agent feature, use the MCP to estimate the potential rework cost if the agent fails at a 10% rejection rate.

One connector, every AI

Agent Quality Gate Calculator 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 Agent Quality Gate Calculator 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

886ms average. Fast in production.

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

Daily averagePeak 983ms
Oct 3Today
Fastest day
770ms
Slowest day
983ms
14-day trend
Improving-5%

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

Guided setup for Claude? Set up Agent Quality Gate Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

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.

  • 05

    How does the gate decision work?

    The decision is determined by comparing the composite quality score against a provided threshold. If the score meets or exceeds the threshold, the decision is APPROVE; otherwise, it is REJECT.

  • 06

    What are the available gate strategies?

    The engine supports three strategies: 'all_must_pass' (the lowest score determines the result), 'majority_vote' (percentage of criteria passing a threshold), and 'weighted_score' (sum of weighted individual scores).

  • 07

    Can I track performance over time?

    Yes, you can use the analyze_quality_trends capability to monitor rolling averages, rejection rates, and detect if quality is declining.

Explore

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