How to Use the Hostfully MCP in LlamaIndex

Q: How do I index Hostfully listings using LlamaIndex?

Use the llama-index-tools-mcp package to connect to this server. You can then load property details via listproperties directly into your document indexers.

Q: Can LlamaIndex query Hostfully guest records semantically?

Yes. By calling listguests, your LlamaIndex pipeline embeds guest names and histories, making them searchable via vector queries.

Q: Does the Hostfully MCP Server work with LlamaIndex agents?

Absolutely. You pass the tools from McpToolSpec to a FunctionAgent, allowing it to run tools like getlead or listowners dynamically.

Q: How do I filter which Hostfully MCP tools LlamaIndex can access?

You define an allowedtools list when initializing the client. This restricts your LlamaIndex agent to only call specific tools like listproperties while blocking administrative tools.

Index Hostfully property and lead data directly into LlamaIndex vector stores for zero-hallucination rental operations.

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Connect Hostfully MCP to LlamaIndex

Create your Vinkius account to connect Hostfully 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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Setup Hostfully with LlamaIndex

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Index active bookings for semantic search

LlamaIndex indexes the output of Hostfully tools so your agent searches live data instead of guessing. By pulling records with `list_leads` and `list_guests`, the framework embeds this booking history straight into your vector store. When a user asks about past guest preferences, your agent queries the index instead of making raw API calls. This grounds your responses in actual reservation history retrieved via `get_lead`.

Build RAG pipelines for property listings

Stop hardcoding listing details into your prompts. Your LlamaIndex agent uses `list_properties` and `get_property` to ingest your current vacation rental catalog directly into a query engine. This setup lets your agent answer highly specific questions about amenities or house rules by retrieving the exact property documents. The retrieved context matches the live status of your Hostfully portfolio.

Ground agency operations in live metadata

This MCP setup combines external documents with live Hostfully API data into a single queryable index. The agent pulls active service contracts using `list_service_providers` and matches them against agency details from `get_agency`. Your agent uses this context to verify which maintenance crews are authorized for specific properties. It eliminates the risk of sending the wrong cleaner to an active listing.

Setup guide

Set up Hostfully 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 Hostfully 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 Hostfully tools.",
)
response = await agent.run("List recent Hostfully data")

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Common questions about Hostfully MCP in LlamaIndex

Use the `llama-index-tools-mcp` package to connect to this server. You can then load property details via `list_properties` directly into your document indexers.

Yes. By calling `list_guests`, your LlamaIndex pipeline embeds guest names and histories, making them searchable via vector queries.

Absolutely. You pass the tools from `McpToolSpec` to a `FunctionAgent`, allowing it to run tools like `get_lead` or `list_owners` dynamically.

You define an `allowed_tools` list when initializing the client. This restricts your LlamaIndex agent to only call specific tools like `list_properties` while blocking administrative tools.

Your property details and lead records remain in your local vector database or memory. The MCP Server acts as an ephemeral bridge, transmitting data over secure, isolated channels without persistent caching.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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