How do I find my Guestmeter API credentials?

Log in to your Guestmeter dashboard and navigate to **Channels > Integration**. You will find your unique `apiKey` and `secretKey` there.

Can I trigger surveys for both email and SMS?

Yes! The `send_survey` tool allows you to provide either a `guest_email` or a `guest_phone` number. Guestmeter will automatically deliver the survey via the provided channel.

How does the integration categorize guests into Promoters or Detractors?

The integration uses the Net Promoter Score (NPS) logic: guests rating 9-10 are Promoters, 7-8 are Passives, and 1-6 are Detractors. You can use specialized tools like `list_promoters` to quickly access these segments.

Is the survey delivery instant?

Yes, once the `send_survey` action is triggered, Guestmeter processes the request immediately and sends the invitation to the guest.

Guestmeter MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: Guestmeter
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to Guestmeter through Vinkius, pass the Edge URL in the `mcps` parameter and every Guestmeter tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Guestmeter Specialist",
    goal="Help users interact with Guestmeter effectively",
    backstory=(
        "You are an expert at leveraging Guestmeter tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Guestmeter "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Guestmeter MCP Server

Connect your Guestmeter hospitality feedback platform to any AI agent and take full control of your reputation management workflows through natural conversation.

When paired with CrewAI, Guestmeter becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Guestmeter tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Automated Surveys — Trigger satisfaction surveys via Email or SMS for guests immediately after checkout.
Feedback Monitoring — List and inspect all guest ratings, comments, and NPS types (Promoters, Passives, Detractors).
Reputation Insights — Retrieve detailed reports on specific guest experiences to identify areas for improvement.
Real-time Alerts — Stay updated on the most recent feedback entries to respond quickly to guest concerns.
Segmented Analysis — Filter feedback to focus on your happiest guests (Promoters) or those needing attention (Detractors).

The Guestmeter MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Guestmeter to CrewAI via MCP

Follow these steps to integrate the Guestmeter MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from Guestmeter

Why Use CrewAI with the Guestmeter MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Guestmeter through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Guestmeter + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Guestmeter MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Guestmeter for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Guestmeter, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Guestmeter tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Guestmeter against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Guestmeter MCP Tools for CrewAI (6)

These 6 tools become available when you connect Guestmeter to CrewAI via MCP:

get_guest_details

Retrieve detailed information for a specific guest ID

list_detractors

List all guests who are detractors (ratings 1-6)

list_guest_feedback

List all guests and their feedback status/results

list_promoters

List all guests who are promoters (ratings 9-10)

list_recent_feedback

List the 50 most recent feedback entries

send_survey

Requires either an email or phone number. Trigger a new guest satisfaction survey via Email or SMS

Example Prompts for Guestmeter in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Guestmeter immediately.

"List the most recent guest feedback entries."

"Send a survey to John Doe at john.doe@example.com for room 302."

"Show me all our detractors from the last batch."

Troubleshooting Guestmeter MCP Server with CrewAI

Common issues when connecting Guestmeter to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Guestmeter + CrewAI FAQ

Common questions about integrating Guestmeter MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.