How to Use the OwnerRez MCP in LlamaIndex

Index your OwnerRez rental data into LlamaIndex for semantic search and grounded answers across all your property information.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect OwnerRez MCP to LlamaIndex

Create your Vinkius account to connect OwnerRez to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup OwnerRez with LlamaIndex

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Vectorize OwnerRez data with LlamaIndex

Turn your booking history into a searchable knowledge base. Use `list_bookings` to fetch records and index them for rapid retrieval during agent queries. Your AI client stops guessing and starts answering based on actual data. It retrieves specific stay details or guest notes by performing semantic searches on the indexed output.

Grounded guest insights for LlamaIndex

Search past guest interactions by indexing results from `search_guests`. You get immediate access to review history and total revenue metrics without manual lookups. This builds a context window that remembers your guests. Your agent uses this indexed knowledge to personalize responses or flag high-value repeat visitors.

Live calendar indexing in LlamaIndex

Sync your property availability into a queryable index using `get_calendar`. This allows your agent to answer questions about open dates by searching the live data structure. You avoid hallucinations because the agent queries the index directly. It provides accurate booking status updates based on the latest server state.

Setup guide

Set up OwnerRez MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all OwnerRez MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to OwnerRez tools.",
)
response = await agent.run("List recent OwnerRez data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OwnerRez. 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.

Why Choose Vinkius

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Common questions about OwnerRez MCP in LlamaIndex

Use the MCP tool spec to pull data from your server and feed it into your vector store. Once ingested, the information is ready for semantic search.

You can query bookings by creating a tool spec and passing it to your agent. The agent will then retrieve the requested data and index it for your prompt.

It does. You can pull guest records and stay history, which LlamaIndex then makes searchable through its indexing pipeline.

The server uses token-based auth to restrict access. Only the data you explicitly fetch is indexed, and it stays within your private memory space.

It provides structured booking records, guest contact information, financial charges, and property calendar details. All of this can be indexed as text or metadata.

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