How do I get my Guesty API credentials?

Log in to your Guesty account, navigate to **Integrations > API & Webhooks**, and create a new set of API credentials to obtain your Client ID and Client Secret.

Can I check availability for specific dates?

Yes! Use the `get_calendar` tool by providing the listing ID and a date range (start and end dates). The agent will return availability and pricing data for that period.

How do I find an owner's revenue information?

Use the `get_owner_revenue` tool with the specific owner ID. The agent will retrieve recent statements including gross revenue, expenses, and net payouts.

Is the integration secure for managing my rental data?

Yes, the integration uses OAuth 2.0 with Client Credentials. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Guesty MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Guesty
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Guesty through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "guesty": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Guesty, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Guesty through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Guesty MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Guesty via MCP

Why Use LangChain with the Guesty MCP Server

LangChain provides unique advantages when paired with Guesty through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Guesty MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Guesty queries for multi-turn workflows

Guesty + LangChain Use Cases

Practical scenarios where LangChain combined with the Guesty MCP Server delivers measurable value.

RAG with live data: combine Guesty tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Guesty, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Guesty tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Guesty tool call, measure latency, and optimize your agent's performance

Guesty MCP Tools for LangChain (11)

These 11 tools become available when you connect Guesty to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Guesty to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Guesty + LangChain FAQ

Common questions about integrating Guesty MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.