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How to Use the AdButler MCP in Google ADK

Feed AdButler inventory and performance data directly into Google ADK for enterprise-scale Gemini agents.

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Google ADK

Connect AdButler MCP to Google ADK

Create your Vinkius account to connect AdButler 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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BigQuery ready reporting

Pulling ad metrics relies on the `get_performance_report` tool to grab CTR, clicks, and impressions across your entire network. Gemini agents can ingest this raw data straight into your GCP pipeline. Long-context reasoning allows Gemini to analyze months of performance logs at once. You feed massive token counts of ad data into the model, and it finds patterns across campaigns without breaking a sweat.

AdButler MCP Server asset tracking

Auditing ad materials requires the `list_campaigns` and `list_creatives` tools to pull active records and banner libraries. Enterprise agents need this visibility to cross-reference running ads against approved assets. Setting up the `McpToolset` in Google ADK takes seconds with your Vinkius URL. You can use the `tool_names` filter to restrict the agent so it only reads creatives and ignores other endpoints.

Network topology extraction

Building a map of your ad placements uses the `list_publishers` and `list_zones` tools to link inventory managers with specific slots. You supply the Publisher ID, and the tool returns the exact active zones. Gemini takes these structured zone lists and cross-references them against your existing BigQuery datasets. The agent identifies underperforming placements and flags them for review.

Setup guide

Set up AdButler 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 AdButler 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="AdButler_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AdButler 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 AdButler. 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 AdButler MCP in Google ADK

Install the SDK using pip. Initialize `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius URL, then pass this toolset to your `LlmAgent` setup.
It does. You apply the `tool_names` filter when setting up the toolset. This restricts the Gemini agent to specific operations like fetching creatives.
Yes. Calling `list_creatives` returns both banner and video assets from your account library. The agent gets the metadata needed to audit your ad creatives.
The agent first calls `list_publishers` to get the network list. It then loops through those IDs using `list_zones` to map out every active placement.
Your publisher and zone records process through a zero-trust architecture on Vinkius. The execution sandbox isolates the data completely from other tenants. Your GCP environment receives the output without exposing the underlying AdButler credentials.

Start using the AdButler MCP today

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