How to Use the AdsWizz MCP in Google ADK
Analyze heavy AdsWizz audio ad data by linking campaigns to your Google ADK agent.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AdsWizz MCP to Google ADK
Create your Vinkius account to connect AdsWizz 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.
Feed AdsWizz metrics straight into BigQuery via Google ADK
The `get_audio_performance` tool pulls raw AdsWizz performance metrics that your Google ADK agent writes directly to your BigQuery datasets. This gives you a direct pipeline from AdsWizz to your Google Cloud data warehouse. Because the Google ADK agent runs on Google Cloud, you can cross-reference AdsWizz audio ad performance against your actual sales data in real time.
Run long-context inventory analysis with this MCP Server
The `list_zones` tool pulls thousands of AdsWizz podcast and stream inventory lines into your Google ADK agent's context window. By connecting this MCP Server, your Google ADK agent can run list_zones to pull massive listings without running out of memory. Gemini processes the entire AdsWizz zone list in one go. Your agent evaluates which audio streams fit your target audience and outputs a clean, structured media plan.
Map audio campaigns to Vertex AI models
The `list_campaigns` and `get_campaign` tools pull active AdsWizz flight dates, budgets, and targeting rules directly into your Google ADK Vertex AI workflow. You can then use Google's enterprise models via Google ADK to predict AdsWizz campaign fatigue. The Google ADK agent reads the campaign details, spots underperforming assets, and alerts your team before you waste ad budget.
Set up AdsWizz MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 AdsWizz tools in your ADK agent.
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="AdsWizz_agent",
model="gemini-2.0-flash",
instruction="You have access to AdsWizz 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 AdsWizz. 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 AdsWizz MCP in Google ADK
Use it with your favorite AI tools
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