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How to Use the Guidebook MCP in Google ADK

Connect Google ADK agents to your event data for automated scheduling and updates.

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Google ADK

Connect Guidebook MCP to Google ADK

Create your Vinkius account to connect Guidebook 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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Google ADK event management

Directly execute `list_guides` to find the right event container for your data. Your agent parses the output to determine which guide needs updates, keeping your workflow focused on the active event. Once the guide is selected, you can use `get_guide` to inspect current settings. It gives your agent the context needed to make informed changes to schedules or locations.

Map locations with Google ADK

Run `list_locations` to sync your floor plans with your current event schedule. Your agent can correlate room IDs with session data, ensuring attendees see the correct venue information. This data flow keeps your maps accurate as the event evolves. It’s a reliable way to ensure your mobile app reflects the latest room assignments.

Production data access

The MCP Server allows your agent to fetch session details using `list_events`. Your agent can then compare this against your BigQuery tables to identify discrepancies in real-time. It creates a tight loop between your source of truth and the mobile app. You get consistent data across your entire event infrastructure.

Setup guide

Set up Guidebook 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 Guidebook 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="Guidebook_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Guidebook 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 Guidebook. 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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Real-time monitoring

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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%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Guidebook MCP in Google ADK

You use the McpToolset class with your server URL. Pass this set into your LlmAgent to start using the tools within your Google Cloud environment.
Yes, you can use a tool_names filter to restrict which operations your agent can perform. This is useful for limiting access to read-only functions like `list_events`.
Absolutely. You can feed the entire output of `list_guides` or `list_attendees` into your agent’s context window. Gemini will then reason over the full dataset.
The server relies on Vinkius’s zero-trust architecture. You handle authentication via your endpoint token, keeping your credentials out of the agent logic.
Your event data, including session descriptions and attendee names, is processed within the ephemeral V8 sandbox. The server does not persist your data after the session ends.

Start using the Guidebook MCP today

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