How to Use the Nuviad Advertising MCP in Google ADK

Q: How do I initialize the Nuviad Advertising MCP server in Google ADK?

Import McpToolset from the Google ADK and pass the Vinkius HTTP transport URL. Add this toolset to your LlmAgent configuration to instantly expose tools like listcampaigns and listcreatives to your Gemini model.

Q: Can I filter which Nuviad Advertising tools are exposed to Google ADK?

Yes, you can use the toolnames filter parameter when creating your McpToolset. This allows you to restrict the agent to read-only tools like getreportssummary while blocking access to bid management tools.

Q: How does Google ADK handle large reports from Nuviad Advertising?

The agent uses requestcampaignreport to trigger the export, then polls getreportstatus. Once ready, Gemini's 1M+ token context window allows the Google ADK to ingest the entire payload from getreportcontent directly into its working memory.

Q: Is our bid strategy and margin data secure on this platform?

Yes, all interactions with your bidding metrics, including listmicrobids and listmicromargins, run through isolated V8 sandboxes. Vinkius enforces zero-trust data access, meaning your proprietary pricing structures are never cached or exposed to external networks.

Feed real-time Nuviad mobile ad data into BigQuery using Gemini and the Google ADK.

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Connect Nuviad Advertising MCP to Google ADK

Create your Vinkius account to connect Nuviad Advertising 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 Nuviad Advertising with Google ADK

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Enterprise mobile ad analysis with Google ADK

Connect your Gemini models directly to your mobile campaign data. Using this MCP Server with the Google ADK lets you pull performance data via `get_reports_summary` and feed it straight into your Google Cloud pipelines. Since Gemini supports massive context windows, you can pass entire campaign histories from `list_campaigns` without running out of memory. This integration makes it easy to compare live ad performance against your historical data warehouse. Your agent can pull targeting configurations from `list_targeting_lists` and match them with customer profiles stored in BigQuery. You get deep, data-driven optimization without writing complex ETL code.

Automated report ingestion via Google ADK

Automate your reporting pipeline from request to analysis. Your agent uses `request_campaign_report` to generate detailed raw data, monitors the generation process with `get_report_status`, and extracts the final metrics via `get_report_content`. The Google ADK manages these tool calls natively, letting you write the output directly to Cloud Storage. By running this on Google Cloud, you can trigger downstream Vertex AI pipelines as soon as a new report is ready. The agent handles the polling logic behind the scenes, keeping your analytical databases updated with the latest mobile ad metrics.

Geo-targeted bidding audits using Gemini

Optimize your regional ad spend using real-time location data. With this MCP setup, your agent queries `list_geo_locations` and matches the active regions against current bid rates from `list_micro_bids` and `list_micro_margins`. The long-context capabilities of Gemini allow the agent to evaluate thousands of geographic permutations simultaneously. If a particular region is underperforming, the agent can check the associated creatives using `list_creatives` to see if the localized messaging is off. All of this happens within a secure, ephemeral connection managed by Vinkius, protecting your API tokens from exposure.

Setup guide

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

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Common questions about Nuviad Advertising MCP in Google ADK

Import `McpToolset` from the Google ADK and pass the Vinkius HTTP transport URL. Add this toolset to your `LlmAgent` configuration to instantly expose tools like `list_campaigns` and `list_creatives` to your Gemini model.

Yes, you can use the `tool_names` filter parameter when creating your `McpToolset`. This allows you to restrict the agent to read-only tools like `get_reports_summary` while blocking access to bid management tools.

The agent uses `request_campaign_report` to trigger the export, then polls `get_report_status`. Once ready, Gemini's 1M+ token context window allows the Google ADK to ingest the entire payload from `get_report_content` directly into its working memory.

No, Vinkius handles the underlying authentication to the ad exchange. Your Google ADK agent only needs a single Vinkius endpoint token, keeping your cloud environment clean and free of hardcoded API keys to Vinkius-hosted MCP tools.

Yes, all interactions with your bidding metrics, including `list_micro_bids` and `list_micro_margins`, run through isolated V8 sandboxes. Vinkius enforces zero-trust data access, meaning your proprietary pricing structures are never cached or exposed to external networks.

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