---
title: "Unit 1 Quiz - Model Context Protocol (MCP) Fundementals"
kind: "Kit"
category: "Education"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec"
updated: "2026-11-12"
---

# Unit 1 Quiz - Model Context Protocol (MCP) Fundementals

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Tests what you know about the fundamentals of the Model Context Protocol with a Gradio quiz that draws its questions from a dataset. For learners taking the first unit of the MCP course.

Unit 1 Quiz - Model Context Protocol (MCP) Fundementals is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by context-course

## About

### What it is

This Space is a Gradio quiz that tests your knowledge of MCP fundamentals, the first unit of a course on the Model Context Protocol. It is a quiz app built for the rows of a dataset, so the questions come from data rather than from the code. The repository also holds a certificate file and a certificates dataset is named, which hints at a certificate for a finished quiz.

### Who it suits

It suits people learning about the Model Context Protocol who want to check what they took in, and course authors who want a quiz app that reads its questions from a dataset.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Education | Learners | Answer the questions to check their grasp of MCP basics | Take the quiz after reading the first unit |
| Education | Course authors | Reuse the quiz app for their own dataset of questions | Point the app at a new quiz dataset |
| Software | Developers new to MCP | Test their understanding before building a server | Find the topics they still need to review |
| Training | Team leads | Give a team a short check on MCP fundamentals | Share the Space link with the group |

You can skip it if you have not started the course material, since it checks what the unit teaches.

### Where to use it

- A web browser: open the Space page on Hugging Face. It runs on cpu-basic hardware.
- Windows, macOS or Linux: run a copy with Python.

| Use case | Who | What they get back |
| --- | --- | --- |
| Take the unit quiz | Learners | A score on the MCP fundamentals questions |
| Reuse the quiz app | Course authors | A quiz that reads its rows from a dataset |
| Study the code | Developers | An app file, templates and a certificate file |

### How to set it up

The hosted page needs nothing from you. A local copy needs these two things first.

- Python on Windows, macOS or Linux.
- pip, which installs the packages.

1. Install the huggingface\_hub package with pip.
2. Download the Space's files into a folder with the hf command.
3. Move into that folder.
4. Install Gradio 5.15.0, then the packages listed in requirements.txt.
5. Start the app with Python.

```sh
pip install -U huggingface_hub
hf download context-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
python app.py
```

### How to use it

Online, open the Space page and answer the questions it shows. On your own computer, run the last command above inside the downloaded folder and use the quiz it starts.

| Tool | What it does |
| --- | --- |
| app.py | Starts the Gradio quiz |
| example.json | A sample data file in the repository |
| certificate.pdf | A certificate file that ships with the Space |
| templates | A folder of templates used by the app |

### Example

You open the Space page and work through the questions on MCP basics. When you finish, the app shows how you did. In your own copy, python app.py starts the same quiz from your machine.

### For newcomers and experts

If you are new, read the first unit of the MCP course and then open the quiz. Answer without looking anything up, then review the topics you missed.

If you know the field, the app takes its questions from a dataset, and the Space names three datasets, two for the unit quiz and one for certificates. The project is set up with pyproject.toml and a uv lock file, on Gradio 5.15.0 and cpu-basic hardware.

Open the Space or run app.py → The app loads the quiz questions from a dataset → You answer each question → The app shows how you did

### Good to know

The README is short, so how scoring and certificates work is not documented there.

- License: apache-2
- Cost to run: none named
- Data it reaches: the quiz datasets the Space names, and your answers in the app
- Not for: learning MCP from scratch, since it only tests what you know

## README

````markdown
# Unit 1 Quiz - Model Context Protocol (MCP) Fundementals

Tests what you know about the fundamentals of the Model Context Protocol with a Gradio quiz that draws its questions from a dataset. For learners taking the first unit of the MCP course.

Made by context-course on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

## About

What it is: This Space is a Gradio quiz that tests your knowledge of MCP fundamentals, the first unit of a course on the Model Context Protocol. It is a quiz app built for the rows of a dataset, so the questions come from data rather than from the code. The repository also holds a certificate file and a certificates dataset is named, which hints at a certificate for a finished quiz.

Who it suits: It suits people learning about the Model Context Protocol who want to check what they took in, and course authors who want a quiz app that reads its questions from a dataset.

```table
Industry | Who uses it | How they use it | Example
Education | Learners | Answer the questions to check their grasp of MCP basics | Take the quiz after reading the first unit
Education | Course authors | Reuse the quiz app for their own dataset of questions | Point the app at a new quiz dataset
Software | Developers new to MCP | Test their understanding before building a server | Find the topics they still need to review
Training | Team leads | Give a team a short check on MCP fundamentals | Share the Space link with the group
```

You can skip it if you have not started the course material, since it checks what the unit teaches.

Where to use it:

- A web browser: open the Space page on Hugging Face. It runs on cpu-basic hardware.
- Windows, macOS or Linux: run a copy with Python.

```table
Use case | Who | What they get back
Take the unit quiz | Learners | A score on the MCP fundamentals questions
Reuse the quiz app | Course authors | A quiz that reads its rows from a dataset
Study the code | Developers | An app file, templates and a certificate file
```

How to set it up: The hosted page needs nothing from you. A local copy needs these two things first.

- Python on Windows, macOS or Linux.
- pip, which installs the packages.

1. Install the huggingface_hub package with pip.
2. Download the Space's files into a folder with the hf command.
3. Move into that folder.
4. Install Gradio 5.15.0, then the packages listed in requirements.txt.
5. Start the app with Python.

```sh
pip install -U huggingface_hub
hf download context-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
python app.py
```

How to use it: Online, open the Space page and answer the questions it shows. On your own computer, run the last command above inside the downloaded folder and use the quiz it starts.

```table
Tool | What it does
app.py | Starts the Gradio quiz
example.json | A sample data file in the repository
certificate.pdf | A certificate file that ships with the Space
templates | A folder of templates used by the app
```

Example: You open the Space page and work through the questions on MCP basics. When you finish, the app shows how you did. In your own copy, python app.py starts the same quiz from your machine.

For newcomers and experts: If you are new, read the first unit of the MCP course and then open the quiz. Answer without looking anything up, then review the topics you missed.

If you know the field, the app takes its questions from a dataset, and the Space names three datasets, two for the unit quiz and one for certificates. The project is set up with pyproject.toml and a uv lock file, on Gradio 5.15.0 and cpu-basic hardware.

```flow
Open the Space or run app.py
The app loads the quiz questions from a dataset
You answer each question
The app shows how you did
```

Good to know: The README is short, so how scoring and certificates work is not documented there.

- License: apache-2
- Cost to run: none named
- Data it reaches: the quiz datasets the Space names, and your answers in the app
- Not for: learning MCP from scratch, since it only tests what you know

## On Hugging Face, 13 November 2026

- Likes: 58
- Built with: gradio
- License: apache-2.0

## Links

- Space: https://huggingface.co/spaces/context-course/unit_1_quiz
- Files: https://huggingface.co/spaces/context-course/unit_1_quiz/tree/main

## Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
````

## What is in it

1 files, 4 KB, downloaded as a zip.

```text
README.md  4 KB
```

## Source

[context-course/unit_1_quiz on Hugging Face](https://huggingface.co/spaces/context-course/unit_1_quiz)

## Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

| Product | Likes | Built with | License | Last change |
| --- | --- | --- | --- | --- |
| Unit 1 Quiz - Model Context Protocol (MCP) Fundementals (this page) | 58 | gradio | apache-2.0 | 2025-06-03 |
| [Unit 1 Quiz - AI Agent Fundementals](https://mindket.com/p/1b65056a-a2b2-4179-a81c-bdffa3636205) | 360 | gradio | apache-2.0 | 2025-06-24 |
| [Unit 2.1 smolagents Code Quiz](https://mindket.com/p/c9f42604-0003-4117-9a4b-2b785f68ee99) | 63 | gradio | apache-2.0 | 2025-03-04 |
| [Tamazight Text-to-Speech](https://mindket.com/p/ab94f6a3-34fa-4c03-9fd0-751ff4f282eb) | 41 | gradio | cc-by-4.0 | 2023-11-25 |
| [Embedding Draw Challenge](https://mindket.com/p/76690a14-5bc9-4d53-ad3e-d47e7218918f) | 30 | gradio | apache-2.0 | 2026-10-06 |
| [Arabic Auto Tashkeel](https://mindket.com/p/f03f30f6-c952-486d-988d-8899e7aa0536) | 29 | gradio | apache-2.0 | 2025-03-22 |

Numbers as Mindket last read them, on 2026-11-12.

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2025-06-03
- First published: 2025-05-21
- Checked on Hugging Face: 2026-11-12
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open context-course/unit_1_quiz on Hugging Face](https://huggingface.co/spaces/context-course/unit_1_quiz)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f7210665-ca4c-423f-b45d-a1c6fa549eec)
- [Its page on Mindket](https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec)
