How to Use the Amazon DSP MCP in Google ADK

Q: How do I configure the Google ADK to talk to the Amazon DSP?

Install the SDK using pip install google-adk and define an McpToolset pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent to expose the DSP tools to Gemini.

Q: Can I restrict which Amazon DSP tools the Google ADK agent can access?

Yes, you can use the optional toolnames filter in the McpToolset configuration to expose only specific tools. For example, you can limit a reporting agent to just requestreport and getreportstatus.

Q: How does Google ADK use Gemini's long context with Amazon DSP data?

The agent can pull massive lists of creatives using listcreatives and feed the entire payload into Gemini's context window. This allows the model to analyze thousands of Amazon DSP assets at once without hitting token limits.

Feed massive Amazon DSP report data directly into BigQuery and Gemini using the Google ADK.

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Connect Amazon DSP MCP to Google ADK

Create your Vinkius account to connect Amazon DSP 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 Amazon DSP with Google ADK

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Analyzing Bulk Reports with Google ADK

Your Gemini agent runs `request_report` via this MCP Server to pull heavy Amazon DSP performance files and stores them directly in Google Cloud. Since the Google ADK handles long-context reasoning, you can feed entire CSVs of campaign data straight into the model's 1M-token window. The agent regularly checks `get_report_status` to ensure the data ingestion pipeline runs without interruption. This setup eliminates the need for complex ETL code when moving DSP metrics into BigQuery.

Cross-Referencing BigQuery with this MCP Server

This MCP Server exposes `list_campaigns` so your Google ADK agent can compare live Amazon DSP performance against historical data stored in BigQuery. The agent queries your warehouse, pulls the live campaign status, and highlights discrepancies instantly. You can also call `list_ad_groups` to map specific ad group structures directly to your internal cloud databases. This lets you build enterprise-grade dashboards that update your team on DSP performance in real time.

Audience Syncing and Creative Audits

The agent invokes `list_audiences` to pull your entire targeting list from the Amazon DSP. It then runs Vertex AI vector searches to match these audiences with customer segments already sitting in your Google Cloud storage. To keep your messaging fresh, the agent uses `list_creatives` to audit active ad assets against these matched segments. The Google ADK manages this entire loop, keeping your cloud data and DSP assets perfectly aligned.

Setup guide

Set up Amazon DSP 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 Amazon DSP 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="Amazon DSP_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Amazon DSP tools via MCP.",
    tools=mcp_tools,
)

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

Install the SDK using `pip install google-adk` and define an `McpToolset` pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` to expose the DSP tools to Gemini.

Yes, you can use the optional `tool_names` filter in the `McpToolset` configuration to expose only specific tools. For example, you can limit a reporting agent to just `request_report` and `get_report_status`.

The agent can pull massive lists of creatives using `list_creatives` and feed the entire payload into Gemini's context window. This allows the model to analyze thousands of Amazon DSP assets at once without hitting token limits.

Yes, the Google ADK supports both transport methods when connecting to the Amazon DSP MCP Server. For production cloud deployments, the streamable HTTP transport on Vinkius is the recommended approach.

All campaign details, ad group structures, and audience lists are routed through secure, isolated V8 sandboxes. Vinkius manages the MCP authentication, ensuring your Google ADK pipeline never handles or leaks raw Amazon DSP developer keys.

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