How to Use the Worksection MCP in Google ADK

Q: Can I check project status history using Worksection with Google ADK?

Yes. Calling listworkhistory provides a complete audit trail of every action taken in the work section, which is perfect for compliance and auditing within GCP.

Q: When building an enterprise agent, what data types does Worksection touch?

The server touches project metadata (from getprojectdetails), user records (from listallusers), and time entries generated when tracking work via stoptimer.

Q: If I need to know what projects exist, how do I use Worksection with Google ADK?

The agent simply invokes the listprojects tool. This quickly gives you a list of all active workspaces your team manages through the MCP Server.

Build enterprise agents acting on Worksection data using Google ADK.

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Connect Worksection MCP to Google ADK

Create your Vinkius account to connect Worksection 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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Setup Worksection with Google ADK

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Deep Project Visibility

Gemini models can hold massive context, so they don't forget key details. You can get a full overview of any workspace by calling `get_project_details`. This gives your agent enough data to make informed decisions without needing multiple API calls. Need to know what jobs are running? The agent checks live timers using `list_active_timers` and tracks everything through the `list_work_history` log.

Task Lifecycle Management

Your agents can manage tasks from start to finish. They create new jobs with `create_task`, track progress, and mark them complete using `complete_task`. If a task is paused, they can even revive it by calling `reopen_task`. This sequence of actions keeps the project flow moving forward efficiently within your Google Cloud environment.

User Coordination

The agent helps coordinate team efforts. It lists all available users via `list_all_users`, but it's better when restricted to a specific group. You can pull the exact list of people on a project using `list_project_members`. This ensures that any action, from listing projects (`list_projects`) to getting task status, is scoped correctly for your enterprise needs.

Setup guide

Set up Worksection 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 Worksection 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="Worksection_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Worksection tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Worksection MCP in Google ADK

The Google ADK allows the Gemini models to reason over Worksection tools. Since you're already in BigQuery, your agent can use `list_project_tasks` and then act on that data using long-context reasoning.

Yes. Calling `list_work_history` provides a complete audit trail of every action taken in the work section, which is perfect for compliance and auditing within GCP.

The server touches project metadata (from `get_project_details`), user records (from `list_all_users`), and time entries generated when tracking work via `stop_timer`.

The agent simply invokes the `list_projects` tool. This quickly gives you a list of all active workspaces your team manages through the MCP Server.

Of course. Your agent can create, retrieve, and mark tasks as complete. It uses `get_task_details` and `complete_task` to maintain a clean task lifecycle.

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