How to Use the Guestmeter MCP in Pydantic AI

Q: Can my Pydantic AI agent send SMS surveys to guests using Guestmeter?

Yes, the agent calls sendsurvey with the guest's phone number. The framework validates the input type before making the outbound HTTP request to Guestmeter.

Q: How do I fetch the most recent feedback entries?

Use the listrecentfeedback tool to pull the 50 latest guest reviews. The returned list is automatically parsed into type-safe Python objects.

Run type-safe guest feedback loops in Pydantic AI using strict validation on this MCP Server.

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Connect Guestmeter MCP to Pydantic AI

Create your Vinkius account to connect Guestmeter to Pydantic AI 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 Pydantic AI

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Validate guest data strictly with Pydantic AI

The Guestmeter MCP Server gives your Python agents structural type guarantees for every hospitality API call. When your agent runs `get_guest_details`, the framework validates the returned guest record against strict Pydantic models. If the API returns a malformed phone number or missing email, the system raises a validation error immediately. You catch bad data before it breaks your notification pipeline. This prevents silent failures in your production code.

Filter promoters and detractors safely

The Guestmeter MCP Server segments your guest list based on real-time feedback ratings. Sorting guest sentiment is highly reliable when using `list_promoters` and `list_detractors`. These tools segment your guests based on their numerical ratings. Because the outputs are typed, your agent can safely map promoters to referral workflows and detractors to support tickets. You don't have to write custom parsing code to handle the API response. The agent acts on clean, structured data every time.

Trigger verified surveys via this MCP Server

This MCP Server lets your agent initiate customer satisfaction surveys using `send_survey`. The tool requires either a valid email address or a phone number to execute. To verify who has already responded, the agent calls `list_guest_feedback` to check execution history. This prevents your agent from sending duplicate surveys to the same person. Your outreach remains professional and targeted.

Setup guide

Set up Guestmeter MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "guestmeter-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Guestmeter tools.",
)

result = await agent.run("List recent Guestmeter transactions")
print(result.output)

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Common questions about Guestmeter MCP in Pydantic AI

Import MCPToolset and initialize it with your Vinkius HTTP URL. Pass this toolset instance inside the toolsets list when building your Agent. The framework handles the rest.

The framework throws a runtime validation error instead of letting your agent hallucinate missing fields. This ensures your application fails safely and loudly during data anomalies.

Yes, the agent calls `send_survey` with the guest's phone number. The framework validates the input type before making the outbound HTTP request to Guestmeter.

Use the `list_recent_feedback` tool to pull the 50 latest guest reviews. The returned list is automatically parsed into type-safe Python objects.

This integration processes guest contact data and survey responses purely in-memory within an isolated V8 sandbox. No database on our end writes or retains this sensitive information. Your API tokens are managed via secure environment variables, keeping your guest data private.

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