What makes Apaleo different from other PMS?

Apaleo is 100% API-first — every feature is accessible via REST API with OpenAPI/Swagger specs. It offers a free developer sandbox, OAuth 2.0, and a modular architecture where you pick the best tools for each function.

Apaleo MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Apaleo
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Apaleo 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({
        "apaleo": {
            "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 Apaleo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Apaleo MCP Server

Connect your Apaleo hotel to any AI agent — the API-first PMS built for modern hospitality.

LangChain's ecosystem of 500+ components combines seamlessly with Apaleo through native MCP adapters. Connect 10 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

Reservations — Browse, filter by status, and view complete booking details
Properties — Multi-property management with full configuration access
Rooms — Room inventory with status, condition, and maintenance tracking
Rate Plans — All pricing plans, restrictions, and availability rules
Finance — Guest folios, charges, payments, and finalized invoices
Availability — Sellable units calendar per room type and date range

The Apaleo MCP Server exposes 10 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 Apaleo to LangChain via MCP

Follow these steps to integrate the Apaleo 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 10 tools from Apaleo via MCP

Why Use LangChain with the Apaleo MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Apaleo 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 Apaleo queries for multi-turn workflows

Apaleo + LangChain Use Cases

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

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

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

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

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

Apaleo MCP Tools for LangChain (10)

These 10 tools become available when you connect Apaleo to LangChain via MCP:

check_availability

Shows sellable units per room type per day. Check room availability

get_property

Get property details

get_reservation

Get reservation details

list_folios

Filter by reservation for guest billing. List guest folios

list_invoices

For accounting and audit. List invoices

list_properties

For multi-property hotel groups. List hotel properties

list_rate_plans

List rate plans

list_reservations

The front-desk dashboard. List hotel reservations

list_room_types

Standard, Deluxe, Suite, etc. List room types

list_rooms

List rooms

Example Prompts for Apaleo in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Apaleo immediately.

"Show me all confirmed reservations arriving this week"

Troubleshooting Apaleo MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Apaleo + LangChain FAQ

Common questions about integrating Apaleo 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.