quiz-scorer Connector for AI agents.
1 live capability
Automate student grading and performance analytics for standardized testing.
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Why people use quiz-scorer
Deterministic EdTech Quiz Scorer for Automated Grading Systems
With this Connector, you just hand the raw data to your agent. It processes the answers, applies the weights, and gives you a full report on category strengths and weaknesses in seconds. You get a clean summary instead of a messy spreadsheet.
What Vinkius changes
That it turns raw quiz data into actionable student performance analytics instantly.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying specific subject weaknesses
A teacher wants to know why a student failed a math test.
- Real-world use case 02
Batch processing corporate compliance tests
An HR head needs to grade 500 safety quizzes.
- Real-world use case 03
Calculating readiness scores for test prep
A test prep company uses score_quiz to calculate a weighted percentage across five different subjects to give students a readiness score.
Complete set · 1capability
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 Capability
Score quiz
Automatically compares student answers against a weighted key to generate a full performance report. It calculates category-specific accuracy and time metrics based on the data you provide.
Set up in minutes
One URL. Then ask quiz-scorer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use quiz-scorer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it quiz-scorer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable quiz-scorer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the quiz-scorer URL.
- Step 03
Save and start
Save the connection and enable quiz-scorer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-edtech-quiz-scorer": {
"url": "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using quiz-scorer
Open Agent mode in chat and ask: "Using quiz-scorer, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-edtech-quiz-scorer": {
"url": "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using quiz-scorer
Ask Copilot: "Using quiz-scorer, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-edtech-quiz-scorer": {
"url": "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using quiz-scorer
Open Cascade and ask: "Using quiz-scorer, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deterministic-edtech-quiz-scorer": {
"url": "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using quiz-scorer
Ask Cline: "Using quiz-scorer, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deterministic-edtech-quiz-scorer --transport http "https://edge.vinkius.com/vk_preview_H93VxPt23n4D3yjkszZDfL7mjHuwxVchcUVTD8BT/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using quiz-scorer
Ask Claude: "Using quiz-scorer, show me...". 1 tools are ready
Where the request belongs
Work quiz-scorer can move forward.
EdTech developers and large-scale test administrators who need to automate high-precision grading without writing custom backend logic for every new quiz.
EdTech Product Manager
Automating the scoring logic for a new standardized testing app without hiring more developers.
Corporate Trainer
Grading hundreds of employee compliance quizzes and identifying specific knowledge gaps in departments.
Data Scientist
Processing large batches of student data to find correlations between time spent and accuracy.
Build the capability set
Add more capabilities.
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Convert raw GRE answers into scaled scores, percentiles, and check graduate program eligibility.
LearningSuite
Create and deliver corporate training programs with course authoring, quizzes, and progress tracking for distributed teams.
Bring your own AI
Change the model, client or framework. Keep quiz-scorer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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AnythingLLM -
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LibreChat -
TypingMind -
Chorus -
5ire -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about quiz-scorer.
The practical details behind the request, access and result.
Can the Deterministic EdTech Quiz Scorer handle different point values for questions?
Yes, it supports weighted scoring. You can make harder questions worth more points than easier ones, and it will calculate the final weighted average automatically.
Does the Deterministic EdTech Quiz Scorer provide category breakdowns?
It does. You can see exactly how a student performed in specific subjects like Math or Science, making it easy to identify specific knowledge gaps.
How does the Deterministic EdTech Quiz Scorer handle time tracking?
If you provide the total time, it automatically calculates the average time spent per question. This helps you see if students are rushing or getting stuck.
Is the Deterministic EdTech Quiz Scorer good for large-scale testing?
Yes, it is built for speed and can process large batches of quiz data instantly, making it ideal for high-volume testing environments.
Can I use the Deterministic EdTech Quiz Scorer for corporate training?
Absolutely. It is great for grading employee compliance tests and identifying specific departments that might need more training.
What kind of data does the Deterministic EdTech Quiz Scorer need?
You just need to provide the answer key and the student's answers as JSON strings. You can also optionally include the total time taken.
Why should I use an Connector 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 Connector uses deterministic V8 loops, guaranteeing 100% mathematical accuracy.
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.
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.
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.
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Give your agent a direct line to quiz-scorer.
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