How to Use the Hostfully MCP in Google ADK

Q: How do I initialize the Hostfully toolset inside the Google ADK?

Run pip install google-adk to install the library. Then, instantiate McpToolset using StreamableHttpServerParameters pointing to your Vinkius URI and pass it to your LlmAgent.

Q: Can I limit which Hostfully tools my Google ADK agent can see?

Use the optional toolnames filter when setting up your McpToolset. This lets you hide administrative tools like listwebhooks while keeping operational tools active.

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Connect Hostfully MCP to Google ADK

Create your Vinkius account to connect Hostfully 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 Hostfully with Google ADK

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Scale property analysis using Google ADK

We use `list_properties` to pull your entire rental inventory directly into the Gemini long-context window. Your agent processes thousands of units at once, running deep analysis that would choke smaller models. The Google ADK maps these tools natively to your LLM agent. By combining property profiles with `get_property`, your model evaluates local occupancy trends and suggests pricing adjustments in seconds.

BigQuery integration for Hostfully MCP Server

Connecting the Hostfully MCP Server to Google Cloud lets you join live booking data with historical revenue tables. Your agent runs `list_leads` to pull active reservations, then cross-references them with SQL tables. This workflow operates entirely within the enterprise boundaries of your Google ADK setup. You get instant reports on agency performance by calling `get_agency` alongside your BigQuery analytical datasets.

Restrict tools for field agent dispatch

You use `list_service_providers` to locate active maintenance crews and dispatch them to properties. To keep field workflows secure, the Google ADK lets you filter which MCP tools are exposed to specific agents. Pass a targeted list to the `tool_names` parameter to block access to sensitive administrative endpoints. This prevents a field agent from calling `list_webhooks` or viewing agency-wide configurations while on a job.

Setup guide

Set up Hostfully 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 Hostfully 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="Hostfully_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hostfully tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Hostfully MCP in Google ADK

Run `pip install google-adk` to install the library. Then, instantiate `McpToolset` using `StreamableHttpServerParameters` pointing to your Vinkius URI and pass it to your `LlmAgent`.

Yes, the framework supports both Stdio and HTTP transports. For cloud deployments, running over HTTP via our secure Vinkius endpoint is the most reliable approach.

Gemini's million-token context window allows your agent to ingest the complete output of `list_properties` and `list_leads` simultaneously, enabling complex, portfolio-wide reasoning.

Use the optional `tool_names` filter when setting up your `McpToolset`. This lets you hide administrative tools like `list_webhooks` while keeping operational tools active.

Your rental inventory, owner lists, and agency records are handled within an ephemeral, zero-trust V8 sandbox. No data persists on the host, keeping your proprietary operational details private.

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