MCP For Claude Marketplace
Deterministic EdTech Quiz Scorer

Deterministic EdTech Quiz Scorer MCP Connector for Claude

A+

Transform your AI into a ruthless, high-precision EdTech examiner. Automatically cross-reference quiz answers against weighted keys to generate granular performance metrics instantly.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Building custom assessment pipelines usually involves writing bloated scripts to compare arrays, calculate weighted averages, and isolate category weaknesses. The EdTech Quiz Scorer MCP solves this by offloading the entire grading pipeline to a hyper-optimized V8 algorithmic engine.

The Superpowers

  • Granular Category Analytics: It doesn't just give a final score. It breaks down the exam by category (e.g., 'Math', 'Science'), revealing exactly where the student's weaknesses lie.
  • Weighted Scoring Framework: Supports dynamic weighting. A difficult question can be worth 5 points while a true/false is worth 1 point. The engine perfectly calculates the max possible score and percentage.
  • Speed & Time Tracking: Ingests the total time taken and automatically derives the averageTimePerQuestionSeconds, a critical metric for standardized test preparation.
  • Zero-Dependency Architecture: Pure JS runtime execution guarantees absolute microsecond speed without any massive external EdTech NPM dependencies. Perfect for real-time agentic evaluation workflows.
grading-automationperformance-metricsweighted-scoringedtechdata-processing

1 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using Deterministic EdTech Quiz Scorer.

Score this 10-question Math exam for the student.

Using the score_quiz tool: The student scored 8.5 out of 10.0 (85% accuracy). They missed questions #3 and #7.

Give me a category breakdown of the student's weaknesses.

Using the score_quiz tool: The category breakdown shows the student excels in 'Algebra' (100%), but is struggling in 'Geometry' (only 40% correct).

Calculate the average time per question if they finished in 180 seconds.

Using the score_quiz tool (totalTimeSeconds=180): The performance metrics show an average of 18 seconds spent per question.

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.

Related Connectors

CL

ClickUp MCP

10 tools Official

Bring tasks, docs, goals, and team communication together in one workspace that replaces scattered project management tools.

A+ View details →
DA

Dalil AI MCP

6 tools Official

Build AI assistants that understand Arabic natively and serve Middle Eastern markets with culturally aware conversational AI.

A+ View details →
RE

Recurly MCP

10 tools Official

Equip your AI to directly manage subscriptions, billing accounts, and invoices within your Recurly ecosystem without shifting interfaces.

A+ View details →
KA

Kargo MCP

10 tools Official

Automate logistics and loading dock operations via Kargo — track shipments and sync data directly from your AI agent.

A+ View details →