How to Use the Lodgify MCP in CrewAI
Run autonomous teams of specialized agents to manage your Lodgify properties using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lodgify MCP to CrewAI
Create your Vinkius account to connect Lodgify 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.
Autonomous booking and rate audits
Deploy a specialized crew using this MCP Server to monitor incoming reservations and audit pricing automatically. The monitoring agent runs `list_bookings` to catch new reservations, while the auditing agent calls `get_rates` to verify that the guest was charged correctly. Because CrewAI supports shared memory, the auditing agent instantly knows which property ID to check. They compare the booked rate against active rates without needing manual data passing between steps.
Multi-agent channel conflict resolution
When calendars get messy, task a CrewAI team using `list_channels` to find sync errors and resolve discrepancies. This MCP Server lets your agents call the endpoints in parallel. An analysis agent flags sync errors, while a coordination agent runs `get_availability` to check where the calendar conflict lies. The crew collaborates to pinpoint the issue, outputting a detailed conflict report before a double-booking occurs.
Smart quoting and property matching using CrewAI
Give your sales crew `list_properties` to find matching listings and generate custom pricing packages. A research agent finds matching listings, while a quoting agent runs `get_quote` to generate custom packages based on guest dates. This multi-agent setup automates guest inquiries completely. The agents work in sequence to find the best property, calculate the exact cost, and draft a personalized pitch.
Set up Lodgify 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 Lodgify tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Lodgify Analyst",
goal="Access and analyze Lodgify data via MCP.",
backstory="Expert analyst with direct Lodgify access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Lodgify 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="Lodgify Analyst",
goal="Access and analyze Lodgify data via MCP.",
backstory="Expert analyst with direct Lodgify access.",
tools=mcp_tools,
)
task = Task(
description="List recent Lodgify 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 Lodgify. 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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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 Lodgify MCP in CrewAI
Use it with your favorite AI tools
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