How to Use the ClickUp MCP in Google ADK

Q: How do I connect the ClickUp MCP Server to Google ADK?

Instantiate McpToolset with the Vinkius HTTP URL in your Python code. Pass this toolset directly to your Google ADK LlmAgent to let Gemini call the ClickUp tools.

Q: How do I secure ClickUp write operations in Google ADK?

You can use the toolnames filter in your Google ADK McpToolset config to block createnewtask. This ensures the agent only reads ClickUp data without modifying your active lists.

Feed ClickUp task data directly into Gemini long-context runs using the Google ADK.

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Connect ClickUp MCP to Google ADK

Create your Vinkius account to connect ClickUp 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 ClickUp with Google ADK

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Long-Context ClickUp Audits via Google ADK

By feeding `list_list_tasks` outputs directly into Google ADK pipelines, you can pull thousands of ClickUp task records in real time. The Google ADK manages this data stream, letting Gemini models analyze entire ClickUp project histories in a single reasoning step. By combining this ClickUp MCP Server with BigQuery, you can cross-reference warehouse logs against tickets retrieved by `get_task_details` using Google ADK. The Google ADK agent processes both sources concurrently, highlighting discrepancies in your operational ClickUp pipelines.

Automated Space Mapping

The system calls `list_workspace_spaces` and `list_space_lists` to map your entire ClickUp structure within the Google ADK framework. Google ADK agents parse this ClickUp hierarchy, storing the structural metadata directly inside your Vertex AI vector databases. When your team adds a new department, the Google ADK agent uses `list_space_folders` to locate the correct directory in ClickUp. The Google ADK agent then organizes your cloud resources to match your ClickUp setup automatically.

Profile-Driven Task Assignment

This tool relies on `get_my_clickup_profile` to verify user identities before Google ADK modifies your project settings via the MCP protocol. Your Google ADK agent checks these ClickUp profiles against Google Cloud IAM permissions to ensure only authorized users trigger actions. Once authorized, the Google ADK agent runs `create_new_task` to assign ClickUp work to the correct team members. This keeps your ClickUp project management aligned with your Google ADK cloud infrastructure access controls.

Setup guide

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

Instantiate `McpToolset` with the Vinkius HTTP URL in your Python code. Pass this toolset directly to your Google ADK `LlmAgent` to let Gemini call the ClickUp tools.

Yes, because Gemini models in the Google ADK support massive context windows, you can call `list_space_folders` and load all nested ClickUp task details into a single prompt. This allows deep analysis of complex project structures.

You can use the `tool_names` filter in your Google ADK `McpToolset` config to block `create_new_task`. This ensures the agent only reads ClickUp data without modifying your active lists.

Yes, you can write Google ADK scripts that pull ClickUp task details using `get_task_details` and write them directly to BigQuery tables. This makes it easy to build centralized productivity dashboards.

No, your task payloads and folder hierarchies are fetched dynamically and exist only in your agent's active memory. Vinkius runs the MCP connector in an isolated, stateless environment, leaving no persistent logs of your ClickUp data on Google Cloud or external servers.

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