How to Use the Impact.com MCP in Google ADK

Q: How do I load Impact.com data into BigQuery using Google ADK?

Use the ADK to fetch transaction lists via listtransactions and write them to your dataset. The framework handles the data pipeline, letting you run BigQuery analysis on raw affiliate metrics.

Feed Impact.com affiliate data directly into Google ADK pipelines with this MCP Server.

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Connect Impact.com MCP to Google ADK

Create your Vinkius account to connect Impact.com 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 Impact.com with Google ADK

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Long-context affiliate analysis with Google ADK

This integration uses `list_media_partners` and `list_campaigns` to load thousands of affiliate records into Gemini's million-token context window. The Google ADK framework passes these massive datasets directly to the model, allowing you to run deep pattern analysis across your entire Impact.com partner network. You do not need to chunk your partner lists or run multiple API queries. The Gemini agent digests the full output in a single pass, identifying top-performing affiliates and campaign trends.

Enterprise BigQuery sync via this MCP Server

This MCP Server connects `list_transactions` and `list_payouts` to your Google Cloud data warehouse. The ADK framework lets your agent fetch transaction histories and write clean tables straight into BigQuery. This setup removes the need for custom ETL pipelines between Impact.com and Google Cloud. Your enterprise agent runs SQL queries on the synced Impact.com data to compare affiliate spend against your internal Google Cloud budgets.

Automated ad performance monitoring

This toolset executes `list_ads` and `list_actions` to evaluate which creative assets generate the most conversions. The Google ADK agent pulls your active ad assets and matches them against conversion records. The agent flags underperforming ads directly in your Vertex AI console. You can then automate alerts to your design team when specific banners stop producing clicks.

Setup guide

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

Use the ADK to fetch transaction lists via `list_transactions` and write them to your dataset. The framework handles the data pipeline, letting you run BigQuery analysis on raw affiliate metrics.

Yes, Google ADK utilizes Gemini's million-token context window to ingest bulk data from `list_media_partners`. You can analyze your entire affiliate directory in a single reasoning step.

The ADK supports both Stdio and Streamable HTTP transports. You connect by passing the server URL to the `StreamableHttpServerParameters` constructor.

You can restrict agent access by passing a list of allowed endpoints to the `tool_names` parameter. This prevents the agent from running financial tools like `list_payouts` if it only needs marketing metrics.

The server processes your webhook data strictly in memory. It fetches details using `list_webhooks` and passes them to your Google Cloud environment without caching or logging sensitive URLs on any intermediate servers.

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