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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Bookeo MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Bookeo tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Bookeo Analyst",
goal="Access and analyze Bookeo data via MCP.",
backstory="Expert analyst with direct Bookeo access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bookeo. 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
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
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