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Preno MCP Server for LangChainGive LangChain instant access to 11 tools to Check Preno Status, Create Preno Booking, Create Preno Guest, and more

Built by Vinkius GDPR 11 Tools Framework

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

Ask AI about this App Connector for LangChain

The Preno app connector for LangChain is a standout in the Erp Operations category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

asyncio.run(main())
Preno
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Preno MCP Server

Connect your Preno account to any AI agent and take full control of your property management and high-fidelity hospitality orchestration through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Preno through native MCP adapters. Connect 11 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

  • Booking Portfolio Orchestration — List all active and upcoming reservations, retrieve detailed high-fidelity status metadata, and monitor occupancy programmatically
  • Guest Intelligence Architecture — Access complete high-fidelity guest profiles and stay history to personalize every interaction directly through your agent
  • Reservation Orchestration — Programmatically generate new bookings and update existing high-fidelity reservation records for perfectly coordinated check-ins
  • Room & Rate Monitoring — Access your complete directory of high-fidelity room types and rates to optimize property utilization and revenue management
  • Financial Transaction Discovery — Access recorded technical payment entries to understand revenue streams and maintain perfect financial alignment
  • Operational Monitoring — Verify account-level API connectivity and monitor booking orchestration volume directly through your agent for perfectly coordinated service scaling

The Preno MCP Server exposes 11 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.

All 11 Preno tools available for LangChain

When LangChain connects to Preno through Vinkius, your AI agent gets direct access to every tool listed below — spanning booking-management, hotel-management, guest-services, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_preno_status

Check API Status

create_preno_booking

Create a new booking

create_preno_guest

Create a new guest

get_preno_booking

Get booking details

get_preno_guest

Get guest details

get_preno_room_type

Get room type details

list_preno_agents

List OTAs and agents

list_preno_bookings

List property bookings

list_preno_guests

Optionally search by name or email. List property guests

list_preno_payments

List financial payments

list_preno_room_types

List room categories

Connect Preno to LangChain via MCP

Follow these steps to wire Preno into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 11 tools from Preno via MCP

Why Use LangChain with the Preno MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Preno MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Preno queries for multi-turn workflows

Preno + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Preno in LangChain

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

01

"List all active bookings and show their arrival status."

02

"Create a new booking for guest 'John Doe' arriving tomorrow for 3 nights."

03

"Check the last 5 payments recorded today."

Troubleshooting Preno MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Preno + LangChain FAQ

Common questions about integrating Preno MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.