Amenitiz is an all-in-one PMS for independent hotels — website builder, booking engine, channel manager, and operations management. Popular across Europe with 10,000+ hotels.

Amenitiz MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Amenitiz
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

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

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Open in ChatGPT Open in Claude Open in Perplexity

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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({
        "amenitiz": {
            "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 Amenitiz, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Amenitiz MCP Server

Connect Amenitiz to any AI agent — the all-in-one PMS for independent hotels.

LangChain's ecosystem of 500+ components combines seamlessly with Amenitiz through native MCP adapters. Connect 8 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 bookings with guest details, dates, and payment
Room Types — Categories with capacity, amenities, and base rates
Rooms — Individual room status: clean, dirty, occupied
Availability — Day-by-day openings by room type
Rates — Seasonal pricing and promotions
Guests — Guest database with visit history and preferences

The Amenitiz MCP Server exposes 8 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 Amenitiz to LangChain via MCP

Follow these steps to integrate the Amenitiz 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 8 tools from Amenitiz via MCP

Why Use LangChain with the Amenitiz MCP Server

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

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

Amenitiz + LangChain Use Cases

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

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

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

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

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

Amenitiz MCP Tools for LangChain (8)

These 8 tools become available when you connect Amenitiz to LangChain via MCP:

get_availability

Get availability

get_property

Get hotel property info

get_rates

Get room rates

get_reservation

Get reservation details

list_guests

List guests

list_reservations

List hotel reservations

list_room_types

List room types

list_rooms

List individual rooms

Example Prompts for Amenitiz in LangChain

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

"What rooms are available for next weekend and at what rates?"

Troubleshooting Amenitiz MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Amenitiz + LangChain FAQ

Common questions about integrating Amenitiz 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.