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Connect Deterministic EdTech Quiz Scorer to your AI

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. Turn raw quiz data into granular student performance metrics.

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Deterministic EdTech Quiz Scorer.

  1. 01

    Score quiz

    The score_quiz capability processes stringified JSON arrays of answer keys and user responses to generate detailed performance metrics. It calculates weighted scores and categorical accuracy percentages based on the data you provide.

Real work

What teams actually run

01

Automated Exam Grading

An agent processes a batch of student answers against a weighted key to produce instant grades.

02

Student Gap Analysis

The AI identifies that a student is failing 'Science' while passing 'Math' using categorical breakdowns.

03

Standardized Test Prep

You use the time tracking feature to see if students are spending too much time on specific question types.

04

Real-time Agentic Evaluation

A developer uses the high-speed engine to grade responses during a live interactive learning session.

Automate a task

Put Deterministic EdTech Quiz Scorer to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Deterministic EdTech Quiz Scorer 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 Deterministic EdTech Quiz Scorer 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

930ms average. Fast in production.

Deterministic EdTech Quiz Scorer is checked daily against the live service.

Daily averagePeak 1144ms
Oct 3Today
Fastest day
709ms
Slowest day
1144ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Deterministic EdTech Quiz Scorer, so you can see the experience inside your AI.

It does not authenticate your account with Deterministic EdTech Quiz Scorer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Deterministic EdTech Quiz Scorer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/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 — Deterministic EdTech Quiz Scorer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deterministic-edtech-quiz-scorer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/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 Deterministic EdTech Quiz Scorer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Deterministic EdTech Quiz Scorer owners hand off.

This MCP is built for anyone building automated assessment capabilities or educational agents.

  • 01

    EdTech Developers

    They hand off raw quiz JSON to the MCP to avoid writing custom grading logic.

  • 02

    Instructional Designers

    They use the agent to quickly analyze student performance across different learning modules.

  • 03

    AI Agent Builders

    They integrate this into evaluation workflows to provide deterministic grading results.

FAQ

Questions Deterministic EdTech Quiz Scorer owners ask.

  • 01

    What format should the quiz data be in?

    You must provide the answerKeyStr and userAnswersStr as stringified JSON arrays.

  • 02

    Can I assign different points to different questions?

    Yes, the MCP supports a weighted scoring framework where you can set specific values for each question.

  • 03

    How does it handle student weaknesses?

    It breaks down the results by category, allowing your agent to see exactly which subjects a student is struggling with.

  • 04

    Does it track how long a student takes to finish?

    Yes, if you provide the totalTimeSeconds, it will calculate the average time spent per question.

  • 05

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    Why should I use an MCP instead of asking the AI to grade it?

    LLMs hallucinate math. If you give an LLM 50 questions, it will often miscount the correct answers, fail to apply fractional weights, or hallucinate the final percentage. This MCP uses deterministic V8 loops, guaranteeing 100% mathematical accuracy.

  • 07

    How does the weighting system work?

    In your answerKey JSON array, you can add a weight parameter (e.g., weight: 2.5). The engine automatically tallies the maxPossibleScore and evaluates the user's earned points against it, rather than just doing a flat 1-point-per-question calculation.

  • 08

    Does it track which questions the user got wrong?

    Yes. The output payload includes an array called incorrectQuestionIds, which isolates the exact IDs the user failed, allowing your AI to instantly provide targeted tutoring on those specific topics.

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