How to Use the Apaleo MCP in LangChain

Q: Can LangChain handle Apaleo rate plan logic?

Yes, pass listrateplans to your agent. The model will parse the available plans and select the correct one based on your chain's instructions.

Chain Apaleo operations into multi-step LangChain pipelines. Automate hotel management tasks with every tool call.

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Connect Apaleo MCP to LangChain

Create your Vinkius account to connect Apaleo 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 Apaleo with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence hotel data in LangChain

Connect `list_reservations` to downstream logic in your LangChain chain. You build agents that pull live booking data and process it without manual intervention. This MCP Server provides the raw input for your reasoning loops. Chain outputs directly into other integrations for a fully automated hotel management flow.

Observability for Apaleo tool calls

Trace every `get_reservation` call through your LangSmith dashboard. You see exactly what the agent requested and how the API responded in real time. Monitoring your agent's decision path helps you debug complex reservation logic. You gain full visibility into how your chain interacts with the Apaleo system.

Manage room inventory with MCP

Use `check_availability` to feed room status into your custom LangChain agents. The agent evaluates inventory levels before triggering follow-up actions like guest billing. Your code handles the logic while the server keeps the data fresh. It turns static hotel records into dynamic parts of your application logic.

Setup guide

Set up Apaleo 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 Apaleo 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({
    "apaleo-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 Apaleo transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apaleo. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Apaleo MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then fetch the tool list and inject them into your agent constructor.

Yes, pass `list_rate_plans` to your agent. The model will parse the available plans and select the correct one based on your chain's instructions.

It does if you use a persistent session. You can keep guest context across turns to ensure the agent remembers previous folio lookups.

No, Vinkius handles the authentication layer. You just use an endpoint token to connect your agent to the hotel data.

Your agent only touches the reservation details you explicitly request. We keep guest PII inside a sandbox and never store it in your application logs.

Use it with your favorite AI tools

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

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