How to Use the Adjust MCP in Google ADK

Q: How do I add the Adjust tools to my Google ADK agent?

You'll use the McpToolset class from the Google ADK library, pointing it to your Vinkius server URL. Then you pass this toolset into your LlmAgent's tools parameter. The agent will then have access to the Adjust functions.

Q: Can I choose which Adjust tools my Google ADK agent sees?

Yes. The McpToolset constructor in the Google ADK has an optional toolnames filter. You can provide a list of tool names, like 'getkpireport', to expose only a specific subset of the Adjust tools to your agent.

Connect your Google ADK agent to Adjust. Analyze mobile attribution data right alongside your BigQuery tables and Vertex AI models.

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Connect Adjust MCP to Google ADK

Create your Vinkius account to connect Adjust 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 Adjust with Google ADK

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Query KPIs for Long-Context Analysis

The `get_kpi_report` tool pulls aggregated marketing metrics from Adjust. Your agent can fetch data for a specific date range, like the last quarter's performance. This is where Google ADK shines. You can feed months of KPI data from Adjust into a long-context Gemini model. Then ask it to find trends, correlate performance spikes with other events, and write a summary report.

Integrate Adjust Data into Google Cloud

With the `inspect_device` and `get_app_settings` tools, your agent can pull specific records from Adjust. You can build a workflow that looks up device attribution and then writes that data to a BigQuery table for long-term storage and analysis. Imagine an agent that triggers on a new install event. It uses the Google ADK to call `inspect_device` via this MCP Server, gets the attribution source, and logs it to BigQuery. All of this runs as a serverless function on Google Cloud.

Build Enterprise Agents with this MCP Server

This MCP server exposes core Adjust functions as simple tools. Your Google ADK agent can use `get_app_settings` to verify your app's configuration is correct before launching a new campaign. Because you're in the Google ecosystem, you can connect everything. An agent could read campaign parameters from a Google Sheet, use this server to check settings in Adjust, and then kick off a workflow in Vertex AI. It's about connecting your existing Google stack to your marketing data.

Setup guide

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

You'll use the `McpToolset` class from the Google ADK library, pointing it to your Vinkius server URL. Then you pass this toolset into your `LlmAgent`'s `tools` parameter. The agent will then have access to the Adjust functions.

Yes, that's a primary use case. Your agent can use tools like `get_kpi_report` to fetch data from Adjust, then use native Google Cloud tools to process and insert that data into a BigQuery table for analysis.

Yes. The `McpToolset` constructor in the Google ADK has an optional `tool_names` filter. You can provide a list of tool names, like `['get_kpi_report']`, to expose only a specific subset of the Adjust tools to your agent.

It's a huge advantage. You can have your agent pull multiple KPI reports from Adjust covering a long period. Then, you can feed that entire dataset into a single prompt for a Gemini model to analyze for long-term trends.

Your Vinkius endpoint is the only thing connecting your Google ADK agent to Adjust. The server handles requests for app settings, KPI reports, and device attribution data. Each request is isolated and ephemeral, and Vinkius manages the secure connection so you don't handle credentials in your agent code.

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