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 Pydantic AI 6 tools — connect in under 2 minutes

Name: Guestmeter
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Guestmeter through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Guestmeter "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Guestmeter?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Guestmeter tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Guestmeter MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from Guestmeter with type-safe schemas

Why Use Pydantic AI with the Guestmeter MCP Server

Pydantic AI provides unique advantages when paired with Guestmeter through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Guestmeter integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Guestmeter connection logic from agent behavior for testable, maintainable code

Guestmeter + Pydantic AI Use Cases

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

Type-safe data pipelines: query Guestmeter with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Guestmeter tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Guestmeter and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Guestmeter responses and write comprehensive agent tests

Guestmeter MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Guestmeter to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Guestmeter + Pydantic AI FAQ

Common questions about integrating Guestmeter MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Guestmeter MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.