How to Use the Wrike MCP in Google ADK

Q: Can I analyze task data from Wrike using the Google ADK?

Yes. You use listwriketasks to pull the raw data into your agent's context, which can then be reasoned about by Gemini models that hold over a million tokens of information.

Q: If I need project lists from Wrike and Google ADK, what tools do I use?

Use listwrikeprojects to retrieve the list. The agent then processes this data alongside other context—like contact info or folder structures—to give you a holistic report.

Q: Does Wrike and Google ADK support filtering results?

Yes, for tasks, listwriketasks allows an optional folder ID filter. For other resources like spaces, the agent can use multiple listing tools to narrow down the scope.

Analyze Wrike enterprise data at scale using the Google ADK agent.

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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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Map out all Wrike workspaces

Need a birds-eye view of your entire organization? The `list_wrike_spaces` tool pulls every top-level area in Wrike. You can then drill down using `list_wrike_folders` to map out the specific project hierarchy for deep analysis. This gives your agent a complete map, ensuring that no department or project space is missed when you're running large data queries against BigQuery.

Bulk list Wrike tasks and projects

Don't want to manually check every task? Use `list_wrike_tasks` to get a comprehensive list of items. You can scope this list using a folder ID, which helps keep the results relevant for your 1M+ token context window. Similarly, `list_wrike_projects` gathers all active initiatives, letting you run large-scale comparisons across hundreds of projects in one query.

Get granular Wrike task data

When the list isn't enough, use `get_task_details`. This pulls every specific field for a single task—everything from description text to assignment dates. These details are perfect for enriching records in BigQuery. If you need to look up who is involved, `list_wrike_contacts` gives the necessary user context alongside that granular data.

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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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wrike. 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 Wrike MCP in Google ADK

The agent uses the MCP Server to query Wrike's API and then passes the structured results directly into Gemini models. This means you can run massive, multi-step reasoning processes on your Wrike data within Google Cloud.

Yes. You use `list_wrike_tasks` to pull the raw data into your agent's context, which can then be reasoned about by Gemini models that hold over a million tokens of information.

Use `list_wrike_projects` to retrieve the list. The agent then processes this data alongside other context—like contact info or folder structures—to give you a holistic report.

Yes, for tasks, `list_wrike_tasks` allows an optional folder ID filter. For other resources like spaces, the agent can use multiple listing tools to narrow down the scope.

This server handles project metadata, task lists, user contact identifiers, and specific text details associated with tasks in Wrike.

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