Where do I find my Adrecord API Token?

Log in to your account (Adrecord or Adtraction), navigate to **Account** > **Settings**. You can generate or retrieve your API Token there. It will be used in the `X-Token` header for all requests.

Can I see my pending commissions?

Yes! Use the `list_transactions` tool to retrieve all tracked sales and leads, including their current status (Pending, Approved, Denied) and commission amounts.

Does this server support product feeds?

Yes, you can use the `get_product_feed` tool to retrieve structured product data from advertisers you are partnered with.

Adrecord MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: Adrecord
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Adrecord as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="adrecord_agent",
    instruction=(
        "You help users interact with Adrecord "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Adrecord MCP Server

Connect your Adrecord (powered by Adtraction) affiliate account to your AI agent to unlock professional performance marketing management. From auditing advertiser programs to tracking real-time sales and managing your media channels, your agent handles your affiliate ecosystem through natural conversation.

Google ADK natively supports Adrecord as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Program Management — List and retrieve details for available advertiser programs, including commission rates and rules
Transaction Auditing — Retrieve detailed logs of sales and leads to monitor your marketing performance and ROI
Channel Oversight — List and manage your registered media channels (websites, social media) across the network
Product Feed Access — Retrieve and audit product data from advertisers to power your affiliate content
Performance Insights — Quickly identify top-performing programs and track your pending earnings directly from chat

The Adrecord MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adrecord to Google ADK via MCP

Follow these steps to integrate the Adrecord MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 5 tools from Adrecord via MCP

Why Use Google ADK with the Adrecord MCP Server

Google ADK provides unique advantages when paired with Adrecord through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Adrecord

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Adrecord tools with BigQuery, Vertex AI, and Cloud Functions

Adrecord + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Adrecord MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Adrecord and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Adrecord tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Adrecord regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Adrecord

Adrecord MCP Tools for Google ADK (5)

These 5 tools become available when you connect Adrecord to Google ADK via MCP:

get_product_feed

Fetch advertiser product data

get_program_details

Get program metadata

list_channels

List media channels

list_programs

List advertiser programs

list_transactions

Filterable by status. List sales and leads

Example Prompts for Adrecord in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Adrecord immediately.

"List all active advertiser programs I am partnered with."

"Show me all transactions from the last 30 days."

"Retrieve the product feed for program ID 5678."

Troubleshooting Adrecord MCP Server with Google ADK

Common issues when connecting Adrecord to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Adrecord + Google ADK FAQ

Common questions about integrating Adrecord MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.