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OpenTrivia MCP. Generate fresh quizzes across any subject.

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Just plug in your AI agents and start using Vinkius.

OpenTrivia gives you immediate access to a massive database of trivia questions. Use it to pull quizzes by category, filter by difficulty (easy/hard), or manage session tokens so your AI agent never repeats a question.

You can also check global stats or discover every available knowledge area with simple tool calls.

What your AI agents can do

Get categories

Looks up and returns a list of all potential quiz categories available in the database.

Get category count

Retrieves the total number of questions written for a specific category ID you provide.

Get global count

Returns the overall count of all questions across every single category in the database.

+ 3 more capabilities included
Discover all available topics

Run get_categories to list every quiz topic currently in the database.

Check question volume per category

Use get_category_count to find out exactly how many questions exist for a specific knowledge area.

Pull a quiz set

Execute get_questions with filters (amount, difficulty, category) to retrieve the actual trivia content.

Ensure unique questions

Call request_token to get a session ID that prevents your agent from reusing old quiz material for six hours.

View global stats

Get an aggregate count of all verified and pending questions across the entire database using get_global_count.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

OpenTrivia MCP Server: 6 Tools for Quiz Management

Use these tools to look up topics, count question sets, pull specific quiz data, and keep your trivia sessions fresh with token management.

get019e5d40

get categories

Looks up and returns a list of all potential quiz categories available in the database.

get019e5d40

get category count

Retrieves the total number of questions written for a specific category ID you provide.

get019e5d40

get global count

Returns the overall count of all questions across every single category in the database.

get019e5d40

get questions

Pulls a set of trivia questions based on specific criteria like difficulty, amount, and topic ID.

request019e5d40

request token

Generates a new session token for your quiz to prevent the same questions from appearing twice in a row.

reset019e5d40

reset token

Manually resets an existing session token, useful if you need to restart a quiz cycle immediately.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Make Your AI Do More

Start with OpenTrivia, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

Listen up. If you're building anything that needs actual trivia—the good stuff, the random facts people actually remember—you need this server. It gives your AI client direct access to a massive quiz database. Forget relying on canned content; here’s how you pull real-world knowledge for quizzes and tests.

To get started, you gotta know what's available. You run get_categories and it spits out every single topic in the whole damn thing. That list tells you all the buckets of knowledge—history, pop culture, science, ya know—so you can decide where to focus your quiz.

Once you've picked a category, you gotta check the volume before you commit. You use get_category_count with that specific ID and it’ll tell you exactly how many questions are sitting there for that topic. Wanna know if 'Film Noir' has ten solid questions or five hundred? This tool tells ya.

If you need a big-picture view, you can run get_global_count, which gives you the total question count across every single category in the entire database.

Now, for the actual quiz content. You execute get_questions and you pass it filters: how many questions you want (the amount), what difficulty level you're aiming for (easy, medium, or hard), and which topic ID you found earlier. This pull gives your agent a structured set of trivia ready to go.

It’s the core function; it delivers the content.

But here's the kicker: nobody wants their quiz repeating 'Who was the first president?' three times in a row, right? To keep things fresh, you call request_token. This generates a brand-new session token for your quiz. Using this token ensures that your agent won't reuse old questions—it keeps the content unique for six hours of active quizzing.

If you need to manually force a restart or if something goes sideways with the token flow, you use reset_token to wipe out the existing session ID and start fresh.

You stack these tools together: You run get_categories first; that tells you what topics exist. Then, your agent pulls a new guardrail using request_token, getting that unique session ID. After that, it runs get_questions, feeding in the category filter, the desired difficulty, and the fresh token ID. That workflow gives you reliable, non-repeating quiz material.

If you're building an educational tool or a trivia night experience, this server manages all the mechanics. You don't just get questions; you get controlled access to massive, filtered databases of facts. It’s how you ensure that your AI client always has fresh content and can precisely measure the depth of knowledge available in each niche topic.

How OpenTrivia MCP Works

  1. 1 Start by calling get_categories to get a list of available topic IDs.
  2. 2 Next, call request_token to secure a fresh session token. This is required before pulling questions.
  3. 3 Finally, use the retrieved ID and token in get_questions to pull your specific quiz set.

The bottom line is: You tell the agent what kind of quiz you want, it handles the topic lookup, session management, and data retrieval automatically.

Who Is OpenTrivia MCP For?

Educators who need to generate diverse classroom material on short notice. Game developers building educational bots. Content creators needing reliable, fresh facts for articles or quizzes.

Curriculum Designer

Uses get_category_count and get_categories to map out curriculum coverage, ensuring they hit enough subjects before building a test.

Game Developer (EdTech)

Integrates get_questions into game logic. They use the session tokens via request_token so players are challenged with new content every round.

Content Writer

Runs global statistics (get_global_count) to gauge the depth of available facts on a certain niche subject before writing an article about it.

What Changes When You Connect

  • Never repeat a question. Using request_token guarantees that your AI agent pulls unique quiz material, even during long testing sessions.
  • Pinpoint knowledge gaps instantly. Run get_category_count to see exactly how much content exists for a specific subject (e.g., 'Astronomy').
  • Filter precisely. The get_questions tool lets you specify the question amount, difficulty level, and format—no guessing required.
  • Understand the scope. Need to know if your database is big enough? Use get_global_count for a comprehensive look at total questions.
  • Easy topic discovery. Start with get_categories. It provides the full list of topics and their IDs, so you never have to guess what content exists.

Real-World Use Cases

01

Building a Classroom Quiz Generator

An educator needs 10 medium-difficulty questions about World History. They first call get_categories for the 'History' ID, then run request_token to get a fresh session key, and finally use get_questions, specifying the ID, difficulty, and token. The agent spits out a perfect quiz set.

02

Checking Content Depth for an Article

A content team is writing about 'Marine Biology.' Before they start, they call get_category_count with the relevant ID. If the count is low, they know to pivot and check related categories using get_categories first.

03

Running a Marathon Trivia Event

A game host runs a quiz over several hours. To ensure fairness, every hour, they call reset_token or request_token. This forces the system to pull new data and guarantees fresh questions for the next round.

04

Analyzing Database Trends

A database administrator calls get_global_count to see the total question count. They also use get_categories to check if any major topics have been neglected or are growing rapidly.

The Tradeoffs

Asking for 'fun' questions.

Telling the agent, 'Give me some fun trivia.' The tool has no concept of 'fun'; it only accepts structured parameters like difficulty and category IDs. This will fail or return random data.

You must be specific. First, call get_categories to find the right ID (e.g., Entertainment). Then use get_questions, specifying that ID, plus a required filter like 'medium' and 'multiple choice'.

Running multiple quizzes in one go.

Trying to get 50 questions from three different topics simultaneously without managing the session state. You risk getting duplicates or hitting rate limits because you haven't managed your tokens.

Manage it step-by-step. Get a token with request_token. Run the first quiz using get_questions. If you need to start over, run reset_token before asking for the next set.

Assuming all questions are available.

Starting development without checking if a category actually has content. You waste time building logic that fails when the API returns zero results for an ID you assume exists.

Always check first. Call get_category_count immediately after finding a topic ID with get_categories. This confirms viability before writing any code.

When It Fits, When It Doesn't

Use this server if your core task involves structured, knowledge-based questioning—quizzes, educational content, or trivia games. You need the specific filters (difficulty, format) and session management tools (request_token, reset_token) to run repeatable quizzes.

Don't use it if you just need random facts on a single subject without needing structured filtering. For open-ended fact retrieval, look at general knowledge base APIs instead. If your primary goal is deep search across unstructured text (like retrieving information from documents), you need a Retrieval Augmented Generation (RAG) pipeline tool.

Always check the get_category_count before committing to building a feature around an ID found via get_categories. It saves time.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open Trivia Database. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_categories get_category_count get_global_count get_questions request_token reset_token

Building quizzes and tests used to involve jumping between databases, spreadsheets, and multiple API calls.

Remember the old way? You'd pull a list of topics from one service. Then you'd have to manually check another system—maybe a separate database—just to see how many questions were available for that topic. If you needed 50 questions, you’d start pulling them, but if your session timed out or the data was stale, you had to stop and restart the whole process.

With OpenTrivia MCP Server, it's direct. Your agent handles the flow: first, check topics with `get_categories`. Next, grab a fresh token using `request_token`. Then, just ask for the quiz set via `get_questions`, and you get the structured data right in your chat interface.

OpenTrivia MCP Server: Get unique quizzes with `get_questions`

The biggest time sink used to be managing question uniqueness. You'd run a quiz, and half the questions were repeats from last week’s test. Then you had to manually pause everything and reset your session key just to start over.

Now? It’s built-in. By calling `request_token` or `reset_token`, you guarantee that every subsequent call to `get_questions` pulls fresh, unique data for a controlled quiz cycle. The process is fast and reliable.

Common Questions About OpenTrivia MCP

How do I find out what topics are available using get_categories? +

You call the get_categories tool. It returns a full list of all quiz categories, including their names and unique IDs. Use these IDs to filter your questions later.

What is the difference between request_token and reset_token? +

request_token gets you a fresh session token when you start a new quiz. reset_token forces an immediate token renewal, letting you restart a running session without waiting for inactivity.

How many questions can I get with get_questions? +

You can request up to 50 questions in one call when using get_questions. Make sure to specify the desired amount and difficulty level.

Can I check how many questions are available for a specific topic? +

Yes. Use the get_category_count tool, passing it the category ID you found with get_categories. This tells you the total content depth.

How do I find the total number of questions available across all categories using get_global_count? +

The tool provides a single, real-time count of every question in the entire database. This is useful for understanding the overall scale of knowledge before targeting specific topics.

If my session token expires or becomes invalid, what should I do to continue using get_questions? +

You must call request_token() first to generate a fresh session key. Once you have the new token, use it with your subsequent calls to ensure continuous access.

What is the practical difference between calling request_token and reset_token? +

Requesting a token generates a brand-new one when there’s no active session. Resetting forces an immediate renewal, effectively kicking out the old key without waiting for the 6-hour inactivity window.

What happens if I try to retrieve more than 50 questions using get_questions? +

The system limits retrievals to a maximum of 50 questions per call. If you need a larger quiz, run the tool multiple times or adjust your agent's workflow to handle data in chunks.

How do I ensure I don't get the same trivia question twice? +

First, use the request_token tool to generate a session token. Then, include this token in your get_questions requests. The API will track your history and exclude previously seen questions for 6 hours.

How can I find the ID for a specific category like 'Science & Nature'? +

Use the get_categories tool. It returns a complete list of all available trivia categories along with their unique numerical IDs, which you can then use to filter your questions.

Is there a way to check how many questions are available in a specific category? +

Yes, use the get_category_count tool and provide the category ID. It will return the total number of questions available for that specific topic, including difficulty breakdowns.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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