Guesty MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Guesty as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Guesty. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Guesty?"
)
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 Guesty MCP Server
Connect your Guesty property management platform to any AI agent and take full control of your vacation rental operations through natural conversation.
LlamaIndex agents combine Guesty tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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
- Reservation Management — List all reservations, retrieve detailed booking information, and monitor check-in schedules.
- Listing Oversight — Access details for all your property listings across platforms like Airbnb, Booking.com, and VRBO.
- Guest Communication — Search for guest profiles and retrieve communication history to ensure high-quality service.
- Calendar & Pricing — Check availability and pricing for specific dates and listings to optimize occupancy.
- Operational Tasks — Monitor cleaning and maintenance tasks to keep your properties in top condition.
- Financial Reporting — Retrieve owner statements, revenue data, and business accounting statistics.
The Guesty MCP Server exposes 11 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 Guesty to LlamaIndex via MCP
Follow these steps to integrate the Guesty 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 11 tools from Guesty
Why Use LlamaIndex with the Guesty MCP Server
LlamaIndex provides unique advantages when paired with Guesty through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Guesty tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Guesty tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Guesty, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Guesty tools were called, what data was returned, and how it influenced the final answer
Guesty + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Guesty MCP Server delivers measurable value.
Hybrid search: combine Guesty real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Guesty 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 Guesty for fresh data
Analytical workflows: chain Guesty queries with LlamaIndex's data connectors to build multi-source analytical reports
Guesty MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Guesty to LlamaIndex via MCP:
get_accounting_stats
Retrieve business-level accounting summary and statistics
get_calendar
Get availability and pricing calendar for a listing
get_listing
Get detailed information for a specific property listing
get_listing_stats
Retrieve performance statistics for a specific property listing
get_owner_revenue
Returns owner statements: gross revenue, expenses, commissions, net payout
get_reservation
Get details for a specific reservation
list_guests
List guests or search by name/email
list_listings
List all property listings managed in Guesty
list_messages
List communication messages/chats. Optionally filter by guest ID
list_reservations
List reservations. Filter by status (confirmed, stayed, cancelled)
list_tasks
List cleaning and operational tasks
Example Prompts for Guesty in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Guesty immediately.
"List all confirmed reservations for next week."
"Check availability for listing ID 5520 from April 10th to 15th."
"Show me the accounting stats for this month."
Troubleshooting Guesty MCP Server with LlamaIndex
Common issues when connecting Guesty to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGuesty + LlamaIndex FAQ
Common questions about integrating Guesty 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 Guesty 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 Guesty to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.