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How to Use the SimplyBook.me MCP in LangChain

LangChain: Build multi-step booking logic and complex scheduling chains.

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Works with every AI agent you already use

…and any MCP-compatible client

SimplyBook.me MCP on Cursor AI Code Editor MCP Client SimplyBook.me MCP on Claude Desktop App MCP Integration SimplyBook.me MCP on OpenAI Agents SDK MCP Compatible SimplyBook.me MCP on Visual Studio Code MCP Extension Client SimplyBook.me MCP on GitHub Copilot AI Agent MCP Integration SimplyBook.me MCP on Google Gemini AI MCP Integration SimplyBook.me MCP on Lovable AI Development MCP Client SimplyBook.me MCP on Mistral AI Agents MCP Compatible SimplyBook.me MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LangChain

Connect SimplyBook.me MCP to LangChain

Create your Vinkius account to connect SimplyBook.me to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Multi-Step Booking Flows

You can build agents that run through a sequence of actions. For instance, the agent first calls `list_services` to confirm offerings, then uses `get_work_calendar` to find open time slots for specific units, and finally executes `create_booking`. This predictable chain minimizes guesswork. The process is fully observable. You see exactly which tools ran, what data they passed along, and how the final booking was confirmed using `update_booking` if changes are needed.

Client Data Retrieval Chains

Need to check a client's history before scheduling? Your agent can pull that context automatically. It runs `list_clients` to verify the user, then uses `get_booking_details` on existing records. You don't have to write separate code for each lookup. This chained approach handles complex queries: Check if a client exists using `list_clients`, check their last appointment via `get_booking_details`, and only then call `update_booking`.

Staff Unit Availability Checks

Finding the right person at the right time is complex. The agent manages this by calling `list_units` to identify all available staff. It then iterates through each unit, checking their schedule using `get_work_calendar`. This gives you a clear picture of capacity. If multiple units are needed for one booking, the chain checks each calendar sequentially before confirming availability and allowing the final call to `create_booking`.

Setup guide

Set up SimplyBook.me 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 SimplyBook.me 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({
    "simplybookme-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 SimplyBook.me 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 SimplyBook.me. 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.

Why Choose Vinkius

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Common questions about SimplyBook.me MCP in LangChain

Your AI client treats the MCP Server as a callable tool within its chain. It doesn't just call one function; it builds logical sequences, passing data from `list_services` directly into the parameters for `create_booking`, making the process highly structured.
Yes. You can chain together calls that first verify necessary client details using `list_clients` and then call `list_bookings`. This ensures the retrieved data is always context-aware for your agent.
Absolutely. You can create multi-step reasoning pipelines that combine checking availability via `get_work_calendar` and then making a booking proposal using `create_booking`. It handles the whole workflow, not just single calls.
You can loop over results from `list_bookings`, collecting all IDs into a list. The agent then executes `cancel_booking` for each ID in the sequence, giving you batch control.
This server primarily touches scheduling and client booking details. The agent processes identifiers like service IDs, unit IDs, and specific time stamps found within the `list_clients` tool output.

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