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Zillow MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Zillow through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="Zillow Assistant",
            instructions=(
                "You help users interact with Zillow. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Zillow"
        )
        print(result.final_output)

asyncio.run(main())
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About Zillow MCP Server

Connect to Zillow and explore US real estate through natural conversation.

The OpenAI Agents SDK auto-discovers all 3 tools from Zillow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Zillow, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • Property Search — Search residential properties by address, city, state and zipcode
  • Property Details — Get full property info including price, bedrooms, bathrooms, square footage and year built
  • Rental Search — Search rental properties with rent prices, bedrooms, bathrooms and property details

The Zillow MCP Server exposes 3 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 Zillow to OpenAI Agents SDK via MCP

Follow these steps to integrate the Zillow MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 3 tools from Zillow

Why Use OpenAI Agents SDK with the Zillow MCP Server

OpenAI Agents SDK provides unique advantages when paired with Zillow through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Zillow + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Zillow MCP Server delivers measurable value.

01

Automated workflows: build agents that query Zillow, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Zillow, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Zillow tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Zillow to resolve tickets, look up records, and update statuses without human intervention

Zillow MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect Zillow to OpenAI Agents SDK via MCP:

01

get_property_by_id

Returns full property details including address, price history, tax info, features, description and photos. Get detailed info for a specific property by ID

02

get_rental_property

Returns rental listings with rent price, bedrooms, bathrooms, square footage, property type and listing details. Search for rental properties

03

search_property

Returns property details including address, price, bedrooms, bathrooms, square footage, lot size, year built, property type and listing status. Search for residential properties

Example Prompts for Zillow in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Zillow immediately.

01

"Search for properties in New York, NY."

02

"Find rental properties in Los Angeles, CA."

03

"Get details for property ID 12345."

Troubleshooting Zillow MCP Server with OpenAI Agents SDK

Common issues when connecting Zillow to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Zillow + OpenAI Agents SDK FAQ

Common questions about integrating Zillow MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Zillow to OpenAI Agents SDK

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.