How to Use the NinjaCat MCP in Google ADK

Q: How do I get my Google ADK agent to use the NinjaCat tools?

You instantiate an McpToolset with your Vinkius MCP server URL and pass it into your LlmAgent's tool list. The ADK takes care of making the NinjaCat tools callable by your Gemini model.

Q: Can I restrict which NinjaCat tools my Google ADK agent can access?

Yes. When you configure the McpToolset, you can pass an optional toolnames filter. This lets you expose only specific tools, like getreportdownloadurl, to a particular agent.

Connect your Gemini agent to NinjaCat with the Google ADK and pipe marketing data directly into your Google Cloud workflow.

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Connect NinjaCat MCP to Google ADK

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Setup NinjaCat with Google ADK

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Pull NinjaCat Data into BigQuery

This toolset connects your Gemini agent directly to your NinjaCat marketing data. Your agent can call `list_agency_campaigns` or `list_reports`, get the results, and then immediately write that data into a BigQuery table. It bridges the gap between your marketing platform and your data warehouse. You don't have to write custom ETL scripts. Just ask your agent, "Pull all active campaigns from NinjaCat and update the 'campaign_status' table in BigQuery." The Google ADK's native GCP integration makes this a natural, conversational workflow.

Summarize Performance with Long Context

Your agent can perform deep analysis that would be impossible manually. Have it use `get_report_history` to pull months of report runs, then feed that entire history into Gemini's long-context window. It can identify trends, spot anomalies, and summarize performance over time. This works because the agent isn't just fetching one piece of data. It's chaining together calls—`list_advertisers`, `list_reports`, `get_report_history`—and holding all that context to answer complex questions about your marketing performance.

Automate Reporting with a Google ADK Agent

Stop downloading reports by hand. Set up an agent to run on a schedule, use `get_report_download_url` to fetch the latest weekly performance deck from NinjaCat, and drop it in a Google Cloud Storage bucket. It's a classic automation task, now handled by your AI agent. Because this is an MCP Server, the setup is minimal. You point the `McpToolset` to the Vinkius URL, and the ADK handles the rest. You can even filter which tools are exposed, giving you tight control over what your agent is allowed to do.

Setup guide

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

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Common questions about NinjaCat MCP in Google ADK

You instantiate an `McpToolset` with your Vinkius MCP server URL and pass it into your `LlmAgent`'s tool list. The ADK takes care of making the NinjaCat tools callable by your Gemini model.

No. The tools provided are for reading data only, like listing campaigns with `list_agency_campaigns`. Your agent can monitor your NinjaCat account, but it cannot make any changes.

If you're already in the Google Cloud ecosystem, it's a no-brainer. Your agent can pull marketing data from NinjaCat and seamlessly combine it with data in BigQuery or trigger workflows in other GCP services.

Yes. When you configure the `McpToolset`, you can pass an optional `tool_names` filter. This lets you expose only specific tools, like `get_report_download_url`, to a particular agent.

Your agent's requests to the MCP server for marketing campaign data and report URLs are processed in isolated, zero-trust environments on Vinkius. The connection is authenticated via a single token, and no sensitive NinjaCat API credentials are ever exposed to the agent or stored.

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