What types of hotels use Mews?

Mews serves 5,000+ properties in 85+ countries — from boutique hotels and hostels to luxury resorts and hotel groups. It's a cloud-native PMS designed for modern hospitality.

Is the Mews API suitable for large hotel groups?

Yes, Mews provides a robust API that supports multi-property operations, making it ideal for hotel groups to manage central reservations, corporate billing, and group-wide reporting.

Can I check room housekeeping status in real-time?

Yes, you can query Mews to get the real-time status of any room, including whether it is clean, dirty, inspected, or out of order, which helps prioritize housekeeping efforts.

Mews MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Mews
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mews 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({
        "mews": {
            "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 Mews, 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 Mews MCP Server

Connect your Mews hotel to any AI agent and transform your front desk into an intelligent, voice-ready concierge.

LangChain's ecosystem of 500+ components combines seamlessly with Mews through native MCP adapters. Connect 12 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 — Today's check-ins, upcoming arrivals, room assignments, and booking status
Guests — Search profiles, loyalty tiers, preferences, allergies, and past stays
Rooms — Real-time room status: vacant/occupied, housekeeping (clean/dirty/inspected)
Billing — Guest folios, charges, payments, and balance tracking
Rates & Services — Rate plans, bookable services, and POS outlet items
Property — Hotel configuration, departments, and operational settings

The Mews MCP Server exposes 12 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 Mews to LangChain via MCP

Follow these steps to integrate the Mews 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 12 tools from Mews via MCP

Why Use LangChain with the Mews MCP Server

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

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

Mews + LangChain Use Cases

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

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

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

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

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

Mews MCP Tools for LangChain (12)

These 12 tools become available when you connect Mews to LangChain via MCP:

get_guest

Get guest profile

get_property_info

Get hotel configuration

get_reservation

Get reservation details

get_reservations

Filter by date range. THE core tool — "Who is checking in today?" "How many rooms tonight?" Get hotel reservations

list_bills

Filter by guest for their complete financial history. List guest bills

list_outlet_items

With pricing and categories. List POS items

list_payments

With amounts, dates, and settlement status. List payments

list_rates

With pricing, restrictions, and availability rules. List room rates

list_room_blocks

With dates, room types, and release dates. List room blocks

list_rooms

List hotel rooms

list_services

List hotel services

search_guests

Returns profile, contact info, nationality, loyalty status, past stays, preferences, and billing history. Search hotel guests

Example Prompts for Mews in LangChain

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

"Who is checking in today and are there any VIP guests?"

"Show me the housekeeping status for the 3rd floor."

"What is our average daily rate (ADR) for this weekend?"

Troubleshooting Mews MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mews + LangChain FAQ

Common questions about integrating Mews 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.