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Vinkius

Bookeo MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

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

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

asyncio.run(main())
Bookeo
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<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 Bookeo MCP Server

Connect your Bookeo account to any AI agent and manage your booking-based business through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Bookeo through native MCP adapters. Connect 9 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

  • Bookings — View reservations with participants, pricing, and payment status
  • Products — Browse all bookable products: classes, sessions, tours, rentals
  • Customers — Search clients, view profiles, and booking history
  • Payments — Track revenue, payment methods, and refunds
  • Availability — Check real-time available slots for any product
  • Business — Access your business profile, timezone, and configuration
  • Webhooks — Monitor active event notifications

The Bookeo MCP Server exposes 9 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 Bookeo to LangChain via MCP

Follow these steps to integrate the Bookeo MCP Server with LangChain.

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 9 tools from Bookeo via MCP

Why Use LangChain with the Bookeo MCP Server

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

01

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

Bookeo + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Bookeo MCP Tools for LangChain (9)

These 9 tools become available when you connect Bookeo to LangChain via MCP:

01

check_availability

Essential for real-time booking assistance. Check available time slots

02

get_booking

Get booking details

03

get_business_info

Get business info

04

get_customer

Get customer profile

05

list_bookings

Includes participant count, time, product, price, and payment status. Filter by date range. List bookings and reservations

06

list_payments

Filter by date for revenue analysis. List payments

07

list_products

Includes pricing, duration, and capacity. List bookable products

08

list_webhooks

List active webhooks

09

search_customers

Returns profile, booking history, and preferences. Search customers

Example Prompts for Bookeo in LangChain

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

01

"Are there any open slots for yoga tomorrow?"

02

"Extract the customer profile and booking history for Alice Smith."

03

"Check total revenue collected for today's classes."

Troubleshooting Bookeo MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Bookeo + LangChain FAQ

Common questions about integrating Bookeo 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.

Connect Bookeo to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.