How to Use the Hostaway MCP in Pydantic AI
Build type-safe Hostaway automation pipelines using Pydantic AI to validate rental listings and reservation data at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hostaway MCP to Pydantic AI
Create your Vinkius account to connect Hostaway 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.
Validate reservations with this Hostaway MCP Server
The `list_reservations` tool pulls active bookings, guest counts, and check-in times from your properties. Pydantic AI validates this payload against strict Python schemas at runtime to prevent malformed API responses from breaking your code. If Hostaway returns unexpected null values or missing fields, your pipeline raises a validation error immediately. This loud failure prevents downstream automation from sending corrupted check-in instructions to your guests.
Run type-safe financial audits
The `get_financials` tool extracts payout breakdowns, cleaning fees, and base rates for specific stays. Your Pydantic AI agent parses this numerical data to ensure every fee maps to a valid float. Combining this with `get_calendar` allows you to calculate exact revenue per available room. You can trust the math because the framework blocks hallucinated fields before they reach your accounting models.
Audit guest chats using Pydantic AI
The `list_conversations` tool retrieves message logs and channel origins for guest inquiries. Your agent processes these threads to classify guest intent into predefined Pydantic models. When you pull data via `get_reservation` to draft replies, the framework ensures the booking ID matches your exact type constraints. This prevents your agent from cross-referencing the wrong guest's details during a conversation.
Set up Hostaway 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"hostaway-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Hostaway tools.",
)
result = await agent.run("List recent Hostaway transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hostaway. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Hostaway MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the Hostaway MCP today
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