Where do I find my Hostfully API Key?

You can find your API key in the Integration Settings of your Hostfully dashboard.

Is the Agency UID required?

It is required for most property and lead related tools. You can find it at the bottom of your Agency Settings page.

Can I see guest details?

Yes, the list_guests tool provides access to guest information associated with your agency.

Hostfully MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Hostfully
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hostfully through the 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 Hostfully "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Hostfully?"
    )
    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 Hostfully MCP Server

Connect your AI agents to Hostfully's Property Management System. This MCP server allows you to list and manage properties, track leads, view guest information, and monitor service providers directly through the Hostfully API. Ideal for automating hospitality operations.

Pydantic AI validates every Hostfully tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.

The Hostfully MCP Server exposes 10 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 Hostfully to Pydantic AI via MCP

Follow these steps to integrate the Hostfully 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 10 tools from Hostfully with type-safe schemas

Why Use Pydantic AI with the Hostfully MCP Server

Pydantic AI provides unique advantages when paired with Hostfully 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 Hostfully integration code

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

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

Hostfully + Pydantic AI Use Cases

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

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

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

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

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

Hostfully MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Hostfully to Pydantic AI via MCP:

get_agency

Retrieves details for a specific agency

get_lead

Retrieves details for a specific lead

get_property

Retrieves details for a specific property

list_agencies

Lists all agencies the API key is authorized to access

list_guests

Lists guests associated with an agency

list_leads

Lists leads and bookings for an agency

list_owners

Lists property owners associated with an agency

list_properties

Requires an agencyUid. Lists all properties belonging to an agency

list_service_providers

Lists service providers (cleaners, maintenance) for an agency

list_webhooks

Lists webhooks configured for an agency

Example Prompts for Hostfully in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Hostfully immediately.

"List all vacation rental properties in Hostfully."

"Check for new leads in agency UID 'abc-123'."

"List all service providers for my agency."

Troubleshooting Hostfully MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hostfully + Pydantic AI FAQ

Common questions about integrating Hostfully 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 Hostfully MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.