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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Apaleo
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Apaleo 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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python

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 Apaleo. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Apaleo?"
    )
    print(response)

asyncio.run(main())

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About Apaleo MCP Server

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

LlamaIndex agents combine Apaleo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

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 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 Apaleo to LlamaIndex via MCP

Follow these steps to integrate the Apaleo 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 10 tools from Apaleo

Why Use LlamaIndex with the Apaleo MCP Server

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

Data-first architecture: LlamaIndex agents combine Apaleo tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Apaleo tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Apaleo, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Apaleo tools were called, what data was returned, and how it influenced the final answer

Apaleo + LlamaIndex Use Cases

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

Hybrid search: combine Apaleo real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Apaleo 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 Apaleo for fresh data

Analytical workflows: chain Apaleo queries with LlamaIndex's data connectors to build multi-source analytical reports

Apaleo MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Apaleo to LlamaIndex 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 LlamaIndex

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

"Show me all confirmed reservations arriving this week"

Troubleshooting Apaleo MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Apaleo + LlamaIndex FAQ

Common questions about integrating Apaleo MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Apaleo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.