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How to Use the Booking Manager MCP in LangChain

Build multi-step LangChain yacht booking agents that check fleet availability and secure reservations.

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Connect Booking Manager MCP to LangChain

Create your Vinkius account to connect Booking Manager to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build Multi-Step Yacht Booking Chains in LangChain

The Booking Manager MCP Server exposes tools like `check_availability` and `create_booking` to let your LangChain agents handle end-to-end charter bookings. Your agent checks dates first, then immediately triggers a booking request without waiting for human intervention. You get full observability through LangSmith tracing. Every tool execution step, from getting yacht details to generating quotes, is logged with exact latency and token usage.

Live Pricing and Quote Generation

This MCP Server integration uses `get_prices` and `get_offers` to pull real-time yacht charter rates directly into your active chain. Your agent compares seasonal pricing and calculates exact quotes based on client parameters. By feeding these outputs directly into the next chain link, you eliminate manual calculations. The agent builds custom options packages by combining these rates with available add-ons.

Fleet and Base Coordination

Your agent calls `list_yachts`, `get_yacht`, and `list_bases` to match clients with the correct vessel at their preferred marina. It filters yachts by specifications and verifies location details before presenting options. Combining these calls with external database integrations allows your agent to cross-reference customer preferences with actual fleet layout. You get exact matches without manual search.

Setup guide

Set up Booking Manager MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Booking Manager tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "booking-manager-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Booking Manager transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Booking Manager. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Booking Manager MCP in LangChain

Install the MCP adapter package and initialize the MultiServerMCPClient with your Vinkius endpoint URL. Retrieve the tools using client.get_tools() and pass them directly to your agent constructor.
Yes, the agent runs a ReAct loop to check availability and create reservations. It uses check_availability first, then calls create_booking to secure the yacht.
Every tool call is tracked automatically via LangSmith. You see the exact input parameters, output data, and execution speed for every single booking operation.
Yes, you can aggregate this MCP Server with other endpoints in a single client. Your agent decides which server to call based on the user's prompt.
Your customer reservation details and pricing data run through a secure, zero-trust V8 sandbox on Vinkius. No raw credentials or sensitive charter records are exposed to the LLM or stored on external servers.

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