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How to Use the KnoCommerce MCP in Google ADK

Feed KnoCommerce post-purchase survey data directly into your Google ADK enterprise pipelines and BigQuery workflows.

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Google ADK

Connect KnoCommerce MCP to Google ADK

Create your Vinkius account to connect KnoCommerce 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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Feed attribution data into Google ADK pipelines

The `get_channel_attribution_report` tool extracts customer acquisition channels directly from post-purchase surveys. Your Gemini-powered agent reads this data to understand where your buyers actually come from. Because the Google ADK handles long contexts, you can feed entire attribution reports directly into your model. This lets you correlate survey responses with your existing BigQuery marketing tables without hitting token limits.

Query customer profiles with Gemini models

The `get_customer_feedback_profile` tool retrieves detailed survey responses and buyer metadata for your enterprise agents. Your agent uses this tool to analyze customer sentiment on the fly. Combine this with `list_knocommerce_customers` to build a real-time feedback loop. Your Google ADK agent can automatically flag high-value customers who left negative reviews and queue them for manual follow-up.

Audit survey structures using an MCP Server

The `list_survey_questions` tool provides the exact list of questions and answer formats for any active campaign. This allows your agent to understand the survey layout before processing individual response details. Your agent calls `get_survey_details` to verify the survey's status and configuration. This ensures your Google ADK pipelines only process data from active, valid marketing campaigns.

Setup guide

Set up KnoCommerce 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 KnoCommerce 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="KnoCommerce_agent",
    model="gemini-2.0-flash",
    instruction="You have access to KnoCommerce tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KnoCommerce. 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 KnoCommerce MCP in Google ADK

Use the `McpToolset` class with `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass this toolset into your `LlmAgent` constructor to expose all ten survey tools to Gemini.
Yes. Use the optional tool names filter when setting up your toolset. This prevents the agent from calling administrative tools like `check_knocommerce_api_status` if it only needs to read responses.
The Google ADK takes advantage of Gemini's million-token context window. You can call `list_survey_responses` and feed the entire raw JSON payload directly to the model for deep thematic analysis.
Run `list_surveys` to get a clean list of all post-purchase surveys. This gives you the active IDs needed to filter responses using the `get_response_details` tool using this MCP Server.
Yes. Customer profiles, attribution reports, and survey answers are fetched on demand and never cached on the Vinkius platform. The MCP Server communicates over TLS, ensuring your customer data remains private.

Start using the KnoCommerce MCP today

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