How to Use the Guesty MCP in Google ADK

Q: How does Google ADK use the Guesty calendar tool to prevent double bookings?

The agent calls getcalendar to check real-time availability before confirming any reservation changes. Because Gemini handles long contexts, it can compare multiple listing calendars simultaneously. This eliminates scheduling overlaps across different channels.

Connect Guesty to Google ADK to run data-driven property management operations on Gemini.

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Connect Guesty MCP to Google ADK

Create your Vinkius account to connect Guesty to Google ADK 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 Guesty with Google ADK

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Enterprise Scaling with Gemini and Guesty

Large-scale portfolio analysis starts when Gemini calls `list_listings` and feeds the property details into Google ADK. The agent processes thousands of property fields at once by taking advantage of Gemini's long-context window. It combines this property data with live performance metrics from `get_listing_stats`. This allows your enterprise agent to run deep-dive analyses on occupancy trends across your entire portfolio without hitting token limits.

BigQuery Analytics and Google ADK Integration

Your Google ADK agent pulls operational data using `get_accounting_stats` and `get_owner_revenue` to feed your data warehouse. It maps raw financial outputs directly to your BigQuery tables for instant updating. This setup lets you join vacation rental performance data with external market trends. The agent runs scheduled checks, updates your dashboards, and alerts your finance team if net payouts drop below your target threshold.

Automated Operations and Task Dispatching

Operational dispatching runs smoothly when the agent calls `list_tasks` and matches assignments to the live calendar via `get_calendar`. It identifies unassigned cleaning jobs and schedules them based on guest checkout times. The agent verifies property readiness by retrieving guest counts from `get_reservation` and updating task descriptions. This keeps your field staff informed and ensures rooms are ready long before the next guest arrives.

Setup guide

Set up Guesty MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Guesty tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Guesty_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Guesty tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Guesty MCP in Google ADK

Install the required library and configure the HTTP server parameters with your endpoint. You pass the server instance directly into the LlmAgent's tool list. The Gemini model automatically discovers the available tools and knows when to call them.

Yes, your agent can query your database and then use tools like `get_listing_stats` to enrich the records. This allows you to build automated reporting pipelines that merge internal property data with external market trends.

The agent calls `get_calendar` to check real-time availability before confirming any reservation changes. Because Gemini handles long contexts, it can compare multiple listing calendars simultaneously. This eliminates scheduling overlaps across different channels.

Yes, you can pass a filtered list of tool names during the toolset initialization step. By excluding tools you don't want the agent to use, you ensure it only accesses safe endpoints like `list_listings` or `get_listing`.

Your data stays within your Google Cloud boundary and the secure Vinkius sandbox. The server processes reservation details, owner revenue, and tasks in memory without writing them to persistent storage. All connections use secure HTTPS to keep your business records safe.

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