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How to Use the Impala MCP in OpenAI Agents SDK

Get real-time hotel inventory directly in your OpenAI Agents SDK production pipeline.

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OpenAI Agents SDK

Connect Impala MCP to OpenAI Agents SDK

Create your Vinkius account to connect Impala 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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Instant hotel discovery for OpenAI Agents SDK

Your agent can now scan global inventory by city or coordinates. It uses `search_hotels` and `search_hotels_by_city` to pull live lists without you writing a single line of custom API parsing code. Everything is auto-discovered. The agent maps the data to its internal state immediately, letting you focus on the booking logic rather than the plumbing.

Verify rates and availability in your agent loop

Pass `check_availability` and `get_rates` to your agent to handle booking requests. The server provides the exact data needed for your agent's decision-making process. Your production agent monitors the response payload directly. If the agent needs to see the room configuration, it calls `get_room_types` to confirm the details before moving to checkout.

Retrieve hotel metadata for your agent

Use `get_hotel`, `get_photos`, and `get_reviews` to build rich responses for your end-users. Your agent pulls high-quality images and guest feedback to provide context. It handles the heavy lifting of data retrieval. You simply define the agent's behavior, and the MCP server feeds the necessary details into the conversation flow.

Setup guide

Set up Impala 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. 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. 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 Impala tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Impala 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="Impala Agent",
            instructions="You have access to Impala 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 Impala. 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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Built-in savings

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Impala MCP in OpenAI Agents SDK

You just pass the server to the agent constructor. It automatically detects the tools, allowing you to trigger searches with simple natural language commands.
Yes. Since your agent receives raw feedback from `check_availability` and `get_rates`, it can easily identify and report booking issues to your user.
It does. You can use `get_reviews` to pull guest feedback into your agent's context for better recommendations.
The server abstracts the API surface. Your agent continues to call the same tool names, so your core logic stays intact.
Your booking data and search criteria stay local to your request. The server only transmits the specific hotel parameters required for the API call.

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