Use quiz-scorer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Transform your AI into a ruthless, high-precision EdTech examiner. Automatically cross-reference quiz answers against weighted keys to generate granular perform
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.
Complete set · 1 capability
The complete quiz-scorer capability set.
These are the exact actions your AI can choose when you ask it to work with quiz-scorer.
01
1 capability in this set.
Part of 1 available through quiz-scorer.
- 01
Score quiz
You must provide the answerKeyStr and userAnswersStr as stringified JSON arrays. Optionally provide totalTimeSeconds to calculate time metrics. Automatically cross-references a user's quiz answers against a weighted answer key, generating granular EdTech performance metrics and categorical accuracy percentages
Observed, not estimated
882ms average. Fast in production.
quiz-scorer is checked daily against the live service.
- Fastest day
- 681ms
- Slowest day
- 1098ms
- 14-day trend
- Stable-3%
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 quiz-scorer, so you can see the experience inside your AI.
It does not authenticate your account with quiz-scorer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
quiz-scorer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — quiz-scorer capabilities are ready to use.
{
"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
FAQ
Questions quiz-scorer owners ask.
- 01
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.
- 02
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.
- 03
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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