4,500+ servers built on MCP Fusion
Vinkius
Mews logo
Vinkius
CrewAI logo

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.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Mews MCP on Cursor AI Code Editor MCP Client Mews MCP on Claude Desktop App MCP Integration Mews MCP on OpenAI Agents SDK MCP Compatible Mews MCP on Visual Studio Code MCP Extension Client Mews MCP on GitHub Copilot AI Agent MCP Integration Mews MCP on Google Gemini AI MCP Integration Mews MCP on Lovable AI Development MCP Client Mews MCP on Mistral AI Agents MCP Compatible Mews MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
CrewAI

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.

GDPR Free for Subscribers

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.

Setup guide

Set up Mews 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 Mews tools as needed.

crew.py
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)

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 Mews MCP in CrewAI

You define your agents in CrewAI and include the Mews MCP server URL in their configuration. Each agent can then access the full suite of Mews tools.
Yes. By sharing context, one agent can research a guest using `search_guests` and pass those details to another agent who generates a summary or processes a bill.
It is fully compatible. You can pass the endpoint directly to your agents or use the MCP HTTP transport for more advanced, secure setups.
You use the tool_filter feature in CrewAI. This allows you to restrict certain agents to specific tools, like only letting the billing agent access `list_payments`.
Data access is restricted to the agents you explicitly grant permissions to. All communication is routed through the Vinkius sandbox, ensuring that sensitive guest profiles remain isolated.

Start using the Mews MCP today

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

Built & Managed by Vinkius 30s setup 12 tools

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

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.