How to Use the Lodgify MCP in LangChain

Q: Can LangChain handle booking quotes from Lodgify?

Yes. Your agent calls getquote with specific dates and guest counts to generate accurate pricing. It then passes those numbers down the chain for your booking logic.

Build custom booking chains in LangChain with real-time Lodgify data connections.

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Connect Lodgify MCP to LangChain

Create your Vinkius account to connect Lodgify to LangChain 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 Lodgify with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain booking logic in LangChain

Feed live availability data directly into your decision chains. Use `get_availability` to fetch current open dates and pass that output into your prompt logic to prevent double bookings. Your agent evaluates the results of `get_quote` against your custom pricing rules. This creates a predictable pipeline where every step relies on verified data from your Lodgify account.

Manage property data programmatically

Automate routine property updates by chaining `list_properties` with your internal logic. You can filter and sort your entire inventory without manual intervention. When your agent needs specific details, it triggers `get_property` to pull clean, structured data. This keeps your application state perfectly synced with your actual rental portfolio.

Monitor channel status automatically

Keep your distribution strategy sharp by querying `list_channels` through your LangChain agents. You get instant visibility into whether your Airbnb or VRBO syncs are active. Use this tool to build automated alerts that notify you if a channel goes offline. It turns your passive dashboard into an active monitoring system for your business operations.

Setup guide

Set up Lodgify MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Lodgify tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "lodgify-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Lodgify transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Lodgify MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. This lets your agent interact with the Lodgify API directly through your defined tool list.

Yes. Your agent calls `get_quote` with specific dates and guest counts to generate accurate pricing. It then passes those numbers down the chain for your booking logic.

The data is as accurate as the underlying API. Since every tool call is logged in LangSmith, you can verify exactly what data your agent received for every booking.

Not really. You define the tools once and the client handles the execution. You just focus on the logic of your chain.

Your data remains isolated in the Vinkius sandbox. Only your authenticated LangChain client can trigger tools to read your private booking and property information.

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