How to Use the ZooAnimals MCP in OpenAI Agents SDK
Run complex animal lookups safely with your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ZooAnimals MCP to OpenAI Agents SDK
Create your Vinkius account to connect ZooAnimals 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.
Identify species by unique ID.
The `get_animal_by_id` tool lets your agent pull up exact details for any specific creature. You pass in an animal's ID, and the MCP Server returns its current data record. This is useful when you need to verify a single piece of information—like confirming if 'Gorilla' has a certain weight or habitat. The output structure keeps your agent clean.
Filter animals by biological type.
Need to check all the reptiles, say? Use `get_animals_by_type` to filter results for 'Mammal', 'Bird', or 'Reptile'. This keeps your agent from getting bogged down in irrelevant data sets. It's a solid way to categorize and process groups of animals. Your AI client handles the type parameter, so you just get back the list you asked for.
Get random animal samples.
Sometimes you don't know what you want. Just run `get_random_animals` to pull up a max of 10 species names and basic stats. This is quick and great for populating sample data. It avoids the overhead of figuring out IDs or types just to see some examples. The MCP Server handles the randomness, keeping your agent focused on processing the list.
Set up ZooAnimals MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all ZooAnimals tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ZooAnimals tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate ZooAnimals tools and returns structured results. Copy the full example on the right to get started.
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="ZooAnimals Agent",
instructions="You have access to ZooAnimals tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZooAnimals. 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 ZooAnimals MCP in OpenAI Agents SDK
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