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How to Use the Guesty MCP in LlamaIndex

Index your live Guesty rental data into LlamaIndex to query bookings and property stats with zero hallucinations.

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LlamaIndex

Connect Guesty MCP to LlamaIndex

Create your Vinkius account to connect Guesty to LlamaIndex 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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Query your Guesty listings with LlamaIndex

The `list_listings` tool pulls all Guesty property details directly into your LlamaIndex vector store for semantic search. You don't have to write complex SQL when LlamaIndex can query Guesty listings natively. Your LlamaIndex agent can query features, house rules, or amenities across hundreds of Guesty properties using the MCP protocol. It gets answers grounded in actual Guesty property profiles fetched via `get_listing` directly inside your LlamaIndex knowledge base.

Index owner revenue and accounting stats

The `get_owner_revenue` tool extracts Guesty financial performance data to build a queryable LlamaIndex knowledge base. Stop manually parsing Guesty spreadsheets when LlamaIndex can index your accounting records instantly. LlamaIndex indexes these Guesty records so you can ask complex questions about payout trends. You get accurate, data-backed Guesty financial summaries directly from your LlamaIndex query engine.

Search booking history semantically

The `list_reservations` tool fetches Guesty stay histories and dates to index them for easy LlamaIndex retrieval. By combining Guesty reservations with LlamaIndex RAG pipelines, you make booking histories searchable. Your LlamaIndex agent searches the index to answer questions about past Guesty stays or upcoming check-ins. This connects live Guesty operational data to your LlamaIndex pipelines.

Setup guide

Set up Guesty MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Guesty tools.",
)
response = await agent.run("List recent Guesty data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guesty. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Guesty MCP in LlamaIndex

Load the MCP tool spec and convert the Guesty tools into a list. LlamaIndex then queries endpoints like `list_listings` to build a vector index of your Guesty properties.
Yes, you can index Guesty communication logs. The LlamaIndex agent uses `list_messages` to pull Guesty chat histories, making them searchable for customer service queries.
It does. You can configure your LlamaIndex agent to fetch the latest availability via `get_calendar` before answering any Guesty booking queries.
Pass specific Guesty IDs to `get_listing_stats` within your LlamaIndex query pipeline. This limits the LlamaIndex data scope to just the Guesty properties you want to analyze.
Your Guesty owner payouts and accounting numbers are processed entirely within a zero-trust V8 sandbox running this MCP Server. No Guesty financial data is stored long-term on the Vinkius platform or leaked to your public LlamaIndex indices.

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