Zillow MCP Server for Pydantic AI 3 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Zillow through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Zillow "
"(3 tools)."
),
)
result = await agent.run(
"What tools are available in Zillow?"
)
print(result.data)
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 Zillow MCP Server
Connect to Zillow and explore US real estate through natural conversation.
Pydantic AI validates every Zillow tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Zillow MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from Zillow with type-safe schemas
Why Use Pydantic AI with the Zillow MCP Server
Pydantic AI provides unique advantages when paired with Zillow through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Zillow integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Zillow connection logic from agent behavior for testable, maintainable code
Zillow + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Zillow MCP Server delivers measurable value.
Type-safe data pipelines: query Zillow with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Zillow tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Zillow and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Zillow responses and write comprehensive agent tests
Zillow MCP Tools for Pydantic AI (3)
These 3 tools become available when you connect Zillow to Pydantic AI via MCP:
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
get_rental_property
Returns rental listings with rent price, bedrooms, bathrooms, square footage, property type and listing details. Search for rental properties
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Zillow immediately.
"Search for properties in New York, NY."
"Find rental properties in Los Angeles, CA."
"Get details for property ID 12345."
Troubleshooting Zillow MCP Server with Pydantic AI
Common issues when connecting Zillow to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiZillow + Pydantic AI FAQ
Common questions about integrating Zillow MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Zillow 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 Zillow to Pydantic AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.