Zillow MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zillow as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Zillow. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in Zillow?"
)
print(response)
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.
LlamaIndex agents combine Zillow tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Zillow MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Zillow MCP Server
LlamaIndex provides unique advantages when paired with Zillow through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Zillow tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Zillow tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Zillow, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Zillow tools were called, what data was returned, and how it influenced the final answer
Zillow + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Zillow MCP Server delivers measurable value.
Hybrid search: combine Zillow real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Zillow to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Zillow for fresh data
Analytical workflows: chain Zillow queries with LlamaIndex's data connectors to build multi-source analytical reports
Zillow MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect Zillow to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Zillow to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpZillow + LlamaIndex FAQ
Common questions about integrating Zillow MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.