How to Use the HQBeds MCP in Google ADK

Q: Can I filter HQBeds tools in Google ADK?

Yes. Use the toolnames filter to restrict which tools are exposed to your agent. This keeps your agent's scope clean and focused.

Deploy enterprise booking agents on Google ADK. Link HQBeds to your Google Cloud data for high-scale hostel management.

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Connect HQBeds MCP to Google ADK

Create your Vinkius account to connect HQBeds 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 HQBeds with Google ADK

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Manage bookings via Google ADK tools

Your agents can interface with HQBeds to push new bookings using `create_reservation`. This works natively within your Google Cloud infrastructure, allowing you to trigger booking flows based on events from BigQuery. Use `get_reservation` to pull specific details into your agent's long-context window. The 1M+ token capacity of your Gemini models makes it easy to analyze historical booking trends alongside real-time reservation data.

Scale availability lookups with Google ADK

Your agent can query `list_availability` to make smart decisions about pricing and room allocation. It processes these requests at scale, which is essential for enterprise deployments running on Vertex AI. Cross-reference this with `list_rooms` to maintain a clear picture of your property's status. Your agent uses this data to provide accurate information to guests in milliseconds.

Monitor HQBeds performance in Google ADK

Integrate `check_hqbeds_status` into your monitoring stack to ensure your agent's toolset is always live. It returns immediate feedback on API connectivity, preventing stalled agent processes. Get account-level insights by calling `get_account`. This allows your agent to identify which property is performing best and adjust its actions accordingly.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HQBeds. 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.

Why Choose Vinkius

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Common questions about HQBeds MCP in Google ADK

Use the McpToolset class with your server parameters. Pass this toolset into your LlmAgent to start executing HQBeds operations.

Yes. Use the tool_names filter to restrict which tools are exposed to your agent. This keeps your agent's scope clean and focused.

It is. You can run the server via Stdio or HTTP depending on your specific cloud deployment architecture.

Your agent fetches the data via MCP tools and writes the response into your BigQuery tables. The flow is standard for any agent operating on GCP.

The server transmits only the raw booking and room records you request. Security is handled via your endpoint token, ensuring no unauthorized access to your guest list.

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