How to Use the Mews MCP in CrewAI
Deploy autonomous agent crews in CrewAI to monitor and manage your Mews property operations without human intervention.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mews MCP to CrewAI
Create your Vinkius account to connect Mews 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.
Specialized Mews crews for CrewAI
Assign distinct roles to your agents to handle different aspects of property management. One agent acts as the reservation monitor using `get_reservations`, while another handles billing via `list_bills`. They share a memory pool, meaning the billing agent knows exactly which guest the reservation agent just processed. This coordination happens entirely behind the scenes.
Autonomous room management
Let your crew manage room inventory by calling `list_rooms` and `list_services` to detect changes. If a room status changes, the crew updates the system and notifies the appropriate staff. This removes the need for someone to watch the screen all day. The agents handle the routine checks and only involve humans if there is a conflict that requires a decision.
Hierarchical operations control
Set up a manager agent in CrewAI to oversee the entire property workflow. The manager evaluates output from `get_property_info` and delegates specific cleanup or check-in tasks to subordinate agents. This creates a structured way to handle hotel operations. The system scales as your needs grow, with the manager ensuring every task reaches completion.
Set up Mews 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 Mews tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mews Analyst",
goal="Access and analyze Mews data via MCP.",
backstory="Expert analyst with direct Mews access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mews 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="Mews Analyst",
goal="Access and analyze Mews data via MCP.",
backstory="Expert analyst with direct Mews access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mews 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 Mews. 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
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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
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place for every integration
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Common questions about Mews MCP in CrewAI
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