How to Use the Wrike MCP in Google ADK

Q: Does the Google ADK support Wrike workflow management?

Yes, you can manage workflows using tools like listcustomworkflows. The agent reads what's available and then allows you to perform actions, such as updating a task via updatetask, which is key for process automation.

Q: Can I list attachments using Wrike and Google ADK?

You can pull every file related to a task using listtaskattachments. This gives the agent all the necessary context before it tries to summarize or categorize content for your BigQuery data set.

Q: What data privacy measures apply to Wrike and the Google ADK?

The core data points are project files (listtaskattachments) and task details. Since you're running on Google Cloud, ensure your agent adheres to all regional data residency requirements when accessing this information.

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Connect Wrike MCP to Google ADK

Create your Vinkius account to connect Wrike 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 Wrike with Google ADK

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List Project Tasks

Want a complete list of all jobs? The agent can call `list_tasks`, filtering by status like 'Active' or 'Completed'. It provides the raw data needed for BigQuery integration. This gives you immediate context on team workload.

Create New Tasks

If a new project needs tracking, use `create_task` to log it directly into Wrike. You can also build out the structure first by calling `list_folders_and_projects`. The agent ensures everything starts in the right place.

Check Team Members

You don't have to guess who's working on what. Use `list_team_members` to pull a directory of all workspace users. This info is crucial for your agent to assign tasks or check permissions before running an operation.

Setup guide

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

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Common questions about Wrike MCP in Google ADK

Yes, you can manage workflows using tools like `list_custom_workflows`. The agent reads what's available and then allows you to perform actions, such as updating a task via `update_task`, which is key for process automation.

The MCP Server acts as the bridge. Your Gemini agent calls specific tools—for example, `add_task_comment`—and the server executes that command against your live Wrike instance. It's direct API interaction.

You can pull every file related to a task using `list_task_attachments`. This gives the agent all the necessary context before it tries to summarize or categorize content for your BigQuery data set.

It is. The server exposes twelve tools covering task creation, folder management, and user lookups. Your agent can treat these like native functions within the Gemini ecosystem.

The core data points are project files (`list_task_attachments`) and task details. Since you're running on Google Cloud, ensure your agent adheres to all regional data residency requirements when accessing this information.

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