How to Use the Cat Facts MCP in OpenAI Agents SDK

Q: How do I start using Cat Facts with the OpenAI Agents SDK?

First, pip install the SDK. Then, create an MCPServerStreamableHttp instance with your Vinkius server URL and pass it to your Agent's constructor in the mcpservers list. The tools are discovered automatically.

Q: Can my agent get multiple facts from the Cat Facts MCP Server using the OpenAI Agents SDK?

Yes, it can. The listcatfacts tool is built for exactly that. Your agent can request a specific number of facts at once, which is more efficient than calling getrandomcatfact in a loop.

Q: What's the best way to list breeds with the Cat Facts server and OpenAI Agents SDK?

Use the listcatbreeds tool. It returns a structured list of all available cat breeds, which is perfect for creating dropdowns, performing analysis, or feeding into another agent.

Build production-grade cat fact agents on this MCP Server with the OpenAI Agents SDK. Zero config, full tracing, ready to deploy.

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Connect Cat Facts MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cat Facts to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cat Facts with OpenAI Agents SDK

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Get Cat Facts, Instantly and Safely

This tool gives your agent a direct line to cat facts. Just ask, and your agent calls `get_random_cat_fact` to pull one on demand. No complex setup, no parsing weird responses. The OpenAI Agents SDK automatically provides guardrails. Before your agent can even run the tool, the SDK confirms the action is valid. You can watch every single call in your OpenAI tracing dashboard, which makes debugging a whole lot easier.

List and Process Cat Breeds

Your agent can query this MCP Server for a complete list of cat breeds. The `list_cat_breeds` tool returns a clean, structured list that's ready to use. It's not just a blob of text; it's data. This is where agent handoffs really shine. You can have one specialized agent fetch the breed list, then pass that data to another agent for analysis or comparison. The SDK handles the state transfer between them, so each agent can focus on its one job.

Auto-Discover Your Cat Facts MCP Server

Connecting your agent is simple. Once you point it to the server URL, the OpenAI Agents SDK auto-discovers every tool available—`get_random_cat_fact`, `list_cat_breeds`, and `list_cat_facts`—with no manual configuration. For production apps where speed matters, just set `cacheToolsList=True`. Your agent will cache the tool definitions after the first call. This cuts down on latency for all future requests, so your agent responds faster.

Setup guide

Set up Cat Facts MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cat Facts tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cat Facts tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cat Facts tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cat Facts Agent",
            instructions="You have access to Cat Facts tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cat Facts. 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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Common questions about Cat Facts MCP in OpenAI Agents SDK

First, pip install the SDK. Then, create an `MCPServerStreamableHttp` instance with your Vinkius server URL and pass it to your Agent's constructor in the `mcp_servers` list. The tools are discovered automatically.

Yes, it can. The `list_cat_facts` tool is built for exactly that. Your agent can request a specific number of facts at once, which is more efficient than calling `get_random_cat_fact` in a loop.

Use the `list_cat_breeds` tool. It returns a structured list of all available cat breeds, which is perfect for creating dropdowns, performing analysis, or feeding into another agent.

It only happens on the first call. For any agent that runs frequently, you should set `cacheToolsList=True` during setup. This will make all subsequent runs faster.

No. The server only processes requests for cat facts and breed names. Your agent's other data and conversations are isolated within your OpenAI environment. Vinkius runs the server in an ephemeral sandbox that's destroyed after each request, so nothing is stored.

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