Open Trivia Database MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open Trivia Database through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Open Trivia Database Assistant",
instructions=(
"You help users interact with Open Trivia Database. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Open Trivia Database"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Open Trivia Database MCP Server
Empower your AI agent to orchestrate your entire entertainment research and trivia auditing workflow with The Trivia API, the comprehensive source for high-quality quiz data. By connecting The Trivia API to your agent, you transform complex content searches into a natural conversation. Your agent can instantly retrieve random trivia questions, audit category distributions, and query specific difficulty levels without you ever touching a trivia portal. Whether you are building social applications or conducting research on general knowledge, your agent acts as a real-time creative assistant, ensuring your content is always engaging and well-categorized.
The OpenAI Agents SDK auto-discovers all 6 tools from Open Trivia Database through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Open Trivia Database, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Question Auditing — Retrieve random trivia questions instantly and maintain a clear view of content and choice distribution.
- Category Oversight — Browse available trivia categories like 'Arts & Literature', 'Film & TV', or 'Science' to identify relevant themes for your audience.
- Difficulty Discovery — Query questions by specific difficulty levels (easy, medium, hard) to understand the cognitive scale of the content.
- Tag Intelligence — Retrieve available trivia tags to identify relevant stylistic markers for your quiz applications.
- Operational Monitoring — Check API status to ensure your trivia research workflow is always operational.
The Open Trivia Database MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Open Trivia Database to OpenAI Agents SDK via MCP
Follow these steps to integrate the Open Trivia Database MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Open Trivia Database
Why Use OpenAI Agents SDK with the Open Trivia Database MCP Server
OpenAI Agents SDK provides unique advantages when paired with Open Trivia Database through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Open Trivia Database + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Open Trivia Database MCP Server delivers measurable value.
Automated workflows: build agents that query Open Trivia Database, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Open Trivia Database, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Open Trivia Database tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Open Trivia Database to resolve tickets, look up records, and update statuses without human intervention
Open Trivia Database MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Open Trivia Database to OpenAI Agents SDK via MCP:
get_category_question_count
Get the number of questions available in a specific category
get_global_question_count
Get total number of questions in the entire OpenTDB database
get_trivia_questions
Supports category, difficulty, and type filters. No API key required. Get random trivia questions from the Open Trivia Database
list_categories
List all available trivia categories with their IDs
request_session_token
Use the token in subsequent get_trivia_questions calls to guarantee unique questions. Tokens expire after 6 hours of inactivity. Request a new session token to avoid duplicate questions
reset_session_token
Reset a session token to start receiving all questions again
Example Prompts for Open Trivia Database in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Open Trivia Database immediately.
"Get 5 random trivia questions from the 'Science' category using Trivia API."
"Show me easy trivia questions about 'Geography'."
"List all available trivia categories."
Troubleshooting Open Trivia Database MCP Server with OpenAI Agents SDK
Common issues when connecting Open Trivia Database to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Open Trivia Database + OpenAI Agents SDK FAQ
Common questions about integrating Open Trivia Database MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Open Trivia Database with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Open Trivia Database to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
