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How to Use the Konnektive MCP in Google ADK

Bring Konnektive data into Google ADK. Build Gemini agents that query transactions, update shipping addresses, and manage orders at scale.

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Google ADK

Connect Konnektive MCP to Google ADK

Create your Vinkius account to connect Konnektive 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 Konnektive data into Google ADK

This Konnektive MCP integration feeds raw CRM context directly into your enterprise ecommerce pipelines. When a customer emails about a delayed package, your agent runs `query_konnektive_customers` and cross-references the results against your existing BigQuery tables. Gemini's massive context window means you can dump hundreds of records at once. Have the agent pull `query_konnektive_transactions` for an entire cohort and analyze payment patterns without hitting token limits.

Audit logs and order resolution

This server lets you instantly figure out who touched an account last during a support escalation. Stop clicking through CRM menus. Your agent executes `get_konnektive_audit_logs` to reconstruct the exact timeline of events for any disputed order. Once the issue is identified, the agent takes action. If a package is heading to the wrong state, it triggers `update_order_shipping_address` to fix it instantly. You resolve the problem in seconds instead of hours.

Map fulfillment and campaigns

This MCP Server exposes exactly how your products and campaigns are structured. By calling `list_billing_campaigns`, your agent maps out your active marketing funnels for Vertex AI. It then uses `list_fulfillment_houses` and `list_konnektive_products` to understand where those items physically sit. You get a complete, automated view of your supply chain straight from the source.

Setup guide

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

Install the `google-adk` package. Configure a `McpToolset` with your Vinkius HTTP endpoint and pass it to your `LlmAgent` tools list.
They can. The `query_konnektive_orders` tool accepts JSON filters. Your agent searches by date, status, or customer ID natively.
Yes. Use the `tool_names` filter in your `McpToolset` setup. You might only want an agent to access `get_order_details` while blocking write actions.
You can pull massive datasets. Run `query_konnektive_transactions` with broad filters and let Gemini analyze the entire JSON payload at once.
The server processes raw payment transaction logs and order histories. Vinkius routes these payloads through ephemeral V8 sandboxes directly to your Google Cloud environment, ensuring no persistent caching of financial records.

Start using the Konnektive MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Konnektive. Just plug in your AI agents and start using Vinkius.

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