How to Use the Adrecord MCP in Google ADK

Q: How do I connect Adrecord to Google ADK?

You initialize a McpToolset with your server URL and pass it to your LlmAgent. The framework handles the connection to the server so your agent can start calling tools immediately.

Build enterprise agents on Google ADK that query Adrecord data and push insights straight to BigQuery.

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Connect Adrecord MCP to Google ADK

Create your Vinkius account to connect Adrecord 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 Adrecord with Google ADK

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Query Adrecord inside Google ADK

Your agent uses `list_programs` to pull active affiliate campaigns into your Google Cloud infrastructure. You can then pipe that data directly into BigQuery for long-term analysis. Using `get_product_feed` allows your agent to compare live advertiser inventory against your existing database. The Gemini model handles this large context easily, keeping your reasoning consistent across thousands of products.

Automate Adrecord reporting in Google ADK

The `list_transactions` tool lets your agent filter sales by status automatically. This turns manual auditing into a background process that runs on your schedule. You restrict exposure by using the tool_names filter within your `McpToolset`. This ensures your agent only interacts with the Adrecord functions you explicitly authorize for your enterprise workflow.

Integrate Adrecord with Google ADK infrastructure

Your agent calls `list_channels` to map affiliate performance across your media sources. It provides a clear view of where your conversions originate. Because this MCP Server supports standard transports, you connect it to your existing Google Cloud services in minutes. Your agent gains direct access to program metadata, letting it adjust campaign strategies based on real-time network changes.

Setup guide

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

You initialize a `McpToolset` with your server URL and pass it to your `LlmAgent`. The framework handles the connection to the server so your agent can start calling tools immediately.

Yes. You can specify which tools the agent is allowed to use, ensuring your Adrecord integration remains scoped to your specific business requirements.

You can. Since your agent runs in the Google ecosystem, it can ingest Adrecord transaction data and write it directly to your BigQuery datasets for reporting.

Your data remains within your controlled Google Cloud VPC. The connection is ephemeral, meaning no transaction records are persisted on the transport bridge.

We enforce strict transport security, and your data is never cached or logged by the server. Your transaction history and affiliate earnings stay within your private agent memory space.

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