How to Use the Gumroad MCP in Google ADK

Q: How do I configure Google ADK to talk to the Gumroad MCP Server?

You initialize a McpToolset with the server URL and pass it to your LlmAgent. It then exposes the tools to your Gemini-powered agent.

Q: Can my Google ADK agent list my Gumroad products?

Absolutely, just call listproducts to get a full inventory. You can then use getproduct to fetch deeper details on any specific item.

Connect your Google ADK agents to Gumroad data. Build complex enterprise workflows that react to real-time sales and customer activity.

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Connect Gumroad MCP to Google ADK

Create your Vinkius account to connect Gumroad 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 Gumroad with Google ADK

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Deep Gumroad integration with Google ADK

The `McpToolset` allows your Google ADK agent to query your store data directly. It sees everything from `list_payers` to your payout history. This bridges your store data with BigQuery or other cloud resources. Your agents can now make decisions based on live customer activity.

Automate payouts and revenue reporting in Google ADK

Your agent can call `list_payouts` to track your incoming cash flow. It aggregates the data for your internal dashboards without manual intervention. This keeps your financial tracking accurate. It saves you from logging into multiple portals just to check your balance.

Granular customer lookup for Google ADK

Use `list_subscribers` to feed active member lists into your agent. It identifies who is currently paying, allowing for targeted communication or support. This gives your agent the context it needs to handle customer inquiries. It stops the guessing game about who is currently subscribed.

Setup guide

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

You initialize a `McpToolset` with the server URL and pass it to your `LlmAgent`. It then exposes the tools to your Gemini-powered agent.

Absolutely, just call `list_products` to get a full inventory. You can then use `get_product` to fetch deeper details on any specific item.

Yes, the server supports both HTTP and Stdio transports. You pick the method that fits your local or cloud infrastructure best.

You manage the token within your environment variables. The server only uses it to authenticate requests to the API during the agent's run.

It accesses transaction IDs, email addresses of buyers, and license keys. This data is handled in memory and never stored by the server itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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