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How to Use the Bookeo MCP in CrewAI

Deploy specialized agent crews to manage Bookeo reservations, payments, and customer support autonomously via our MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect Bookeo MCP to CrewAI

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

GDPR Free for Subscribers

CrewAI Teams for Bookeo Class Coordination

The `check_availability` tool lets your agent crew inspect open time slots across your entire fitness or activity catalog. CrewAI assigns a scheduling agent to monitor these slots and coordinate with a customer service agent. Because agents share memory, the scheduling agent passes available slots to the booking agent, which then runs `get_booking` to confirm details. This collaborative execution ensures zero double-bookings without human intervention.

Autonomous Revenue Auditing and Escalation

The `list_payments` tool retrieves revenue records and payment statuses for specific date ranges. A dedicated financial agent uses this data to flag unpaid reservations and cross-reference them with active client accounts. When the agent detects an outstanding balance, it queries `get_customer` to find contact details. The crew then drafts a personalized notification, ready for your team to review and send.

Automated Customer Account Management

The `search_customers` tool scans your database for profiles, history, and preferences to build context for support inquiries. In CrewAI, a research agent pulls this data and hands it to a resolution agent. By combining search results with `list_bookings`, the crew resolves complex scheduling disputes autonomously. The entire process runs in the background, keeping your customer database clean and updated.

Setup guide

Set up Bookeo MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Bookeo tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Bookeo Analyst",
    goal="Access and analyze Bookeo data via MCP.",
    backstory="Expert analyst with direct Bookeo access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Bookeo transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bookeo MCP in CrewAI

Install the framework using `pip install crewai "crewai[tools]"`. You can pass your Vinkius MCP Server URL directly inside the agent's `mcps` array parameter for quick integration.
Yes, you can use `MCPServerHTTP` from the `crewai.mcp` module along with a `tool_filter`. This allows you to expose safe tools like `list_products` while blocking write operations.
CrewAI agents utilize shared memory to pass context. If one agent fetches customer details using `get_customer`, those details are instantly available to the next agent in the execution pipeline.
The server supports stdio, SSE, and Streamable HTTP transports. CrewAI handles these protocols natively, allowing you to connect your agents to the Vinkius hosting environment with minimal configuration.
All customer profiles and booking records accessed via `search_customers` are processed in secure, isolated V8 sandboxes. Vinkius never stores your business data, ensuring complete privacy for your clients and schedules.

Start using the Bookeo MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Bookeo. Just plug in your AI agents and start using Vinkius.

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