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How to Use the zipBoard MCP in Google ADK

Manage projects and bug tracking with Google ADK.

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Google ADK

Connect zipBoard MCP to Google ADK

Create your Vinkius account to connect zipBoard 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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Managing Project Scope

The `list_projects` tool provides a complete list of all zipBoard project identifiers. Your agent uses this to determine the boundaries of its work. If you need to start tracking something new, run `create_project`. It accepts data as a JSON string, allowing your enterprise agents to define complex initial parameters for immediate use.

Tracking Tasks and Issues

Agents use the `list_tasks` tool to pull all existing issues from a project. This gives Gemini long-context reasoning over current bug statuses. To log a new issue, call `create_task`. Your agent generates a structured task record within zipBoard, keeping your GCP workflows perfectly aligned with the product's state.

Accessing Project Metadata

Need to know who owns the project? The `get_organization` tool fetches core organization details. This is crucial for agents running on Google Cloud that need context about ownership. For file tracking, use `list_files`. It pulls out all associated URLs, letting your agent map the full technical scope of a given project.

Setup guide

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

Use the `list_projects` tool. It returns all available project identifiers, giving your agent immediate visibility into the entire suite of work housed in zipBoard.
You use the `create_task` tool. Since it accepts structured data, your agent can reliably generate new issues or tickets right into your defined project area.
The server manages various structured records: projects, tasks/issues, file URLs, and organizational details. Your agent acts on this specific metadata stored in the MCP Server.
Yes. The `list_files` tool allows your agent to retrieve a full list of associated file URLs for any specified project, keeping track of dependencies.
You call `create_project`. Because it takes data as JSON, your agent can define the initial structure and scope for an entirely new project with minimal setup.

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