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Exam Sheet MCP Server

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Generate a timed exam on any topic and take it in an interactive exam sheet with live grading.

About

Generate a timed exam on any topic and take it in an interactive exam sheet with live grading.

Security Report

0.0
Use Caution0.0Moderate Risk

1 tool verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.

What You'll Need

Set these up before or after installing:

API key used to generate questions and grade open answers.Required

Environment variable: ANTHROPIC_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-giuliobmb-exam-sheet": {
      "env": {
        "ANTHROPIC_API_KEY": "your-anthropic-api-key-here"
      },
      "args": [
        "-y",
        "@giuliobmb/exam-sheet-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Exam Sheet — an MCP App

Generate a timed exam on any topic and take it in an interactive exam sheet that renders directly inside an MCP host (Claude Desktop, VS Code, etc.). Supports true/false, multiple-choice, and open questions. Objective questions are graded instantly; open answers are graded by the model. At the end you get a report with a grade out of 100.

Installation

Add the server to your MCP host config, e.g. claude_desktop_config.json:

{
  "mcpServers": {
    "exam-sheet": {
      "command": "npx",
      "args": ["-y", "@giuliobmb/exam-sheet-mcp"],
      "env": { "ANTHROPIC_API_KEY": "sk-ant-..." }
    }
  }
}

Restart the host after saving the config.

As a remote connector (Claude.ai or ChatGPT)

The same server also runs as a remote Streamable HTTP endpoint at /mcp (src/httpServer.ts), so it can be added as a connector by URL instead of a local install — on Claude.ai directly, or on ChatGPT via Settings → Apps → Advanced settings → Developer mode → Add connector. In that mode it has no API key of its own — question generation and grading go through MCP sampling, i.e. the connected client's own model — and each session gets its own isolated exam store.

The exam sheet UI is registered twice: once as an MCP Apps resource for Claude, once adapted for ChatGPT's Apps SDK (_meta["openai/outputTemplate"] on generate_exam, via @mcp-ui/server's appsSdk adapter) — same HTML, no changes needed between hosts.

Deploy it anywhere that runs a Node web service (a render.yaml blueprint is included for Render's free tier); then add https://<your-deployment>/mcp as a connector URL.

Usage

Ask the host to run generate_exam with a topic, e.g. "Generate an exam on the French Revolution." The interactive sheet opens with a timer; answer each question and submit to see instant grading (or model-graded feedback for open questions). At the end you get a full report with a grade out of 100.

Local development

npm install
npm test          # runs the unit tests (no network, no API key needed)
npm run typecheck
npm run build     # compiles TypeScript to dist/
export ANTHROPIC_API_KEY=sk-ant-...
npm start         # runs the server over stdio
npm run start:http  # runs the remote (Streamable HTTP) entrypoint on :3000

To try a local build in Claude Desktop, point the config at the compiled file instead of the npm package:

{
  "mcpServers": {
    "exam-sheet": {
      "command": "node",
      "args": ["/absolute/path/to/exam-mcp/dist/index.js"],
      "env": { "ANTHROPIC_API_KEY": "sk-ant-..." }
    }
  }
}

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