How to Use the Guestmeter MCP in CrewAI

Deploy autonomous feedback crews in CrewAI using the Guestmeter MCP Server.

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Connect Guestmeter MCP to CrewAI

Create your Vinkius account to connect Guestmeter 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.

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Setup Guestmeter with CrewAI

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Autonomous feedback analysis in CrewAI

Assign a researcher agent to `list_recent_feedback` so it can summarize the last 50 entries. This data informs your moderator agent's next move. It creates a self-correcting loop. Your crew identifies issues before they become public complaints.

Escalation workflows for CrewAI crews

Set your monitor agent to watch for detractors via `list_detractors`. When it finds one, it hands off the guest record to a support agent to resolve the issue. It keeps your front desk focused on high-value interactions. The crew handles the discovery phase entirely on its own.

Targeted survey operations in CrewAI

Use `send_survey` as a tool for your action-oriented agent. It can trigger personalized surveys only after a guest has been cleared by your sentiment analysis agent. It prevents survey fatigue. You only reach out when the timing and context are right.

Setup guide

Set up Guestmeter MCP in CrewAI

Prerequisites

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

1

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

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

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Guestmeter Analyst",
        goal="Access and analyze Guestmeter data via MCP.",
        backstory="Expert analyst with direct Guestmeter access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Guestmeter. 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.

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Common questions about Guestmeter MCP in CrewAI

Pass the Guestmeter MCP URL directly into your agent definition. CrewAI will automatically load the tools and make them available to your crew members.

You can use tool filtering to limit which agent has access to specific tools like `send_survey`, ensuring only authorized agents can trigger outreach.

It does. You can chain tools together so one agent gets the guest details and another decides whether to send a survey based on that information.

The MCP connection is isolated in the Vinkius sandbox. Guest contact information is only processed in-memory during the agent's task execution and is not stored by the server.

Yes. You can assign an observer agent to log the success or failure of every tool call, giving you a clear view of your feedback operations.

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