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How to Use the KanbanZone MCP in Google ADK

Integrate your Google ADK agents with KanbanZone to automate project tracking and board updates.

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Google ADK

Connect KanbanZone MCP to Google ADK

Create your Vinkius account to connect KanbanZone 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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Google ADK agents and KanbanZone board tools

Your agent can fetch your entire project structure using `list_boards`. It maps your active work directly into its memory space for better context during task execution. It handles the heavy lifting of `list_cards` so you don't have to parse JSON yourself. The agent sees exactly what is on the board and acts on it.

Dynamic board control for Google ADK

Real-time updates are handled through `update_card` and `move_card`. When your agent completes a task, it updates the board state automatically. This keeps your project metrics accurate without human intervention. The agent keeps the board state aligned with your actual progress in Google Cloud.

Webhook lifecycle for Google ADK

Configure your event listeners using `create_webhook` to stay updated on board movements. It notifies your agent of changes as they happen. Use `list_webhooks` to audit your current active connections. You keep a lean integration by removing unused hooks with `delete_webhook`.

Setup guide

Set up KanbanZone 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 KanbanZone 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="KanbanZone_agent",
    model="gemini-2.0-flash",
    instruction="You have access to KanbanZone 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 KanbanZone. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about KanbanZone MCP in Google ADK

You initialize the McpToolset with your endpoint and pass it to your LlmAgent. It maps the server tools to your agent's available actions.
The tools operate over a standard HTTP transport. They execute as fast as the KanbanZone API allows, keeping your agent's latency low.
Yes, you can use a tool_names filter. This restricts the agent to only the specific actions you want it to perform on your boards.
Yes, it supports both Stdio and HTTP transports. You choose the connection method that fits your specific deployment environment.
The server uses endpoint tokens to gate access. Only your authenticated agent can read your card names and board configurations.

Start using the KanbanZone MCP today

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Built & Managed by Vinkius 30s setup 8 tools

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

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