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How to Use the Booqable MCP in Google ADK

Connect Booqable rental data to Google ADK for enterprise-grade inventory planning and long-context Gemini reasoning.

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Google ADK

Connect Booqable MCP to Google ADK

Create your Vinkius account to connect Booqable 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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Query Booqable catalogs inside Google ADK pipelines

The `list_product_groups` tool gives your Gemini models direct access to your entire Booqable rental catalog. By combining this with Google ADK, you can feed thousands of rental products into Gemini's million-token context window for deep inventory analysis. Your agent uses `get_product_group` to resolve specific inventory details. This lets you run complex availability forecasts without exporting CSVs or writing custom ETL pipelines.

Connect Booqable MCP Server to BigQuery datasets

The `list_orders` tool allows your Google ADK agents to pull active rental history and cross-reference it with historical warehouse data in BigQuery. This makes it easy to spot seasonal demand patterns directly from your enterprise AI client. Because the MCP Server handles the connection, Gemini can query `get_order` to resolve individual order discrepancies on the fly, writing the corrected status back to your Google Cloud database.

Automate rental pickups using Vertex AI triggers

The `start_order` and `stop_order` tools let you build automated fulfillment loops within your Google Cloud infrastructure. When a customer picks up their gear, Google ADK triggers the state change in Booqable instantly. If an order fails to update, your agent checks the customer record using `get_customer` to flag the account. You get a reliable, code-free way to sync physical inventory status with your cloud backend.

Setup guide

Set up Booqable 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Booqable 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="Booqable_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Booqable tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Booqable. 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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Common questions about Booqable MCP in Google ADK

Install `google-adk` and use `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset to your `LlmAgent` constructor to expose the rental tools to your Gemini model.
Yes. Use the `tool_names` filter in the `McpToolset` configuration to expose only read tools like `check_availability` and `list_product_groups`, blocking write operations.
The `list_customers` tool streams paginated results. Gemini's massive context window in Google ADK easily ingests these records, allowing the model to search and filter customer profiles without running out of memory.
Yes, Google ADK supports both. For Vinkius-hosted servers, you will use the Streamable HTTP transport to keep your agent connected securely without managing local Node or Python processes.
All data transit is encrypted end-to-end. Your customer profiles fetched via `list_customers` pass through Vinkius's ephemeral, zero-trust sandbox, meaning no rental records are cached or stored outside of Google Cloud and Booqable.

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