How to Use the Sellfy MCP in Google ADK

Q: How do I use the Sellfy tools within a Google ADK agent?

First, pip install google-adk. Then create an McpToolset instance, passing your Vinkius server URL in the StreamableHttpServerParameters. Add that toolset to the tools list when you initialize your LlmAgent.

Q: Can I limit which Sellfy tools my Google ADK agent can use?

Yes. When you create the McpToolset, you can pass a toolnames list to expose only the specific functions you want. This is a good way to enforce security and limit the agent's scope.

Q: Can a Google ADK agent sync all my Sellfy customers to a Google Sheet?

It sure can. The agent would use the listcustomers tool from this MCP server to fetch the data. Then, it can use native Python libraries or another tool to write that data directly into a Google Sheet.

Connect your Sellfy store to Google Cloud. Build enterprise agents with Google ADK that act on your e-commerce data.

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Connect Sellfy MCP to Google ADK

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Setup Sellfy with Google ADK

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Load Sellfy Data Directly into BigQuery

This toolset is built for data pipelines. Give your agent access to `list_orders`, `list_customers`, and `list_subscriptions`. It can pull this data from Sellfy on a schedule or in response to an event. Because you're using Google ADK, the next step is simple. Your agent can take that data and pipe it straight into BigQuery tables. You get your e-commerce data ready for large-scale analysis without building a separate ETL job.

Analyze Sales Trends with Your MCP Server

Use the Gemini models' huge context window to your advantage. An agent can call `list_orders` and `list_products` to pull thousands of records from your Sellfy store, then feed that entire dataset into the model in a single prompt. This lets the agent find subtle patterns across your entire sales history—things you'd miss by looking at small batches of data. The Google ADK is designed for this kind of large-scale reasoning, and this MCP server provides the necessary data.

Automate Product Creation from Cloud Storage

The `create_product` tool lets your agent add products to your Sellfy store. You can hook this up to your existing Google Cloud workflow. For instance, have an agent watch a Google Cloud Storage bucket for new product spec sheets. When a new file appears, the agent can parse it and use `create_product` to get that item listed on Sellfy immediately. It's a practical way to connect your internal asset pipeline directly to your storefront.

Setup guide

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

First, `pip install google-adk`. Then create an `McpToolset` instance, passing your Vinkius server URL in the `StreamableHttpServerParameters`. Add that toolset to the `tools` list when you initialize your `LlmAgent`.

Yes. When you create the `McpToolset`, you can pass a `tool_names` list to expose only the specific functions you want. This is a good way to enforce security and limit the agent's scope.

It sure can. The agent would use the `list_customers` tool from this MCP server to fetch the data. Then, it can use native Python libraries or another tool to write that data directly into a Google Sheet.

It's all about the native integration. If your business already runs on Google Cloud and your data is in BigQuery, the ADK makes your Sellfy agent a first-class citizen in that ecosystem. It's less glue code for you to write.

The server handles your store's core data: product details, order history, customer information, and subscription statuses. Security is handled by Vinkius, which isolates every request in a dedicated, zero-trust environment. Your data is passed directly to your agent and is never stored on the MCP server.

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