How to Use the Tower MCP in Google ADK

Q: Can I list all projects using Tower and the Google ADK?

Yes. The MCP Server provides the listprojects tool, allowing your Google ADK agent to pull every project ID and name managed by Tower for processing.

Q: How does the Google ADK handle task updates in Tower?

It uses the updatetask tool. You pass the necessary parameters—like a new status or assignee—and the agent executes the change directly on the MCP Server, updating your records.

Q: Is it possible to check tasks in a specific Tower project using the Google ADK?

For sure. You call listtasks(projectid) and get an array of all associated tasks, giving you granular control over your workload within the agent.

Build enterprise agents using the Google ADK that operate within the Tower platform.

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Connect Tower MCP to Google ADK

Create your Vinkius account to connect Tower 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 Tower with Google ADK

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Executing Tasks with the MCP Server

Need to move a task along? Your agent calls `update_task` and specifies the exact changes needed for a given project. This is how you build reliable, automated workflows that treat Tower like another data source. It's straightforward: identify the task ID, define the update payload, and let your Google ADK agent push the change directly to the MCP Server.

Project Visibility via Google ADK

Your agent needs a full scope of work. You can get details on any project using `get_project`, which pulls everything from Tower's database—from member lists to associated document folders. If you need to see what other projects are running, just use `list_projects`. The Google ADK ensures these data reads are structured for enterprise consumption.

Team Collaboration and Data Retrieval

Getting the right people involved is half the battle. Your agent can list all available teams via `list_teams` or check who's on board using `list_members`. These calls keep your data clean. Plus, if you need to see what discussions happened around a project, call `list_discussions`. This keeps context flowing within the Google ADK agent system.

Setup guide

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

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Common questions about Tower MCP in Google ADK

Yes. The MCP Server provides the `list_projects` tool, allowing your Google ADK agent to pull every project ID and name managed by Tower for processing.

It uses the `update_task` tool. You pass the necessary parameters—like a new status or assignee—and the agent executes the change directly on the MCP Server, updating your records.

It touches project metadata, including member lists, document folder structures, and task statuses. This comprehensive view allows for deep analysis within BigQuery after retrieval.

For sure. You call `list_tasks(project_id)` and get an array of all associated tasks, giving you granular control over your workload within the agent.

It interacts with task records, project definitions, user/member profiles, and discussion threads. This variety of structured data makes it ideal for enterprise modeling.

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