How to Use the Nozbe MCP in Google ADK

Q: How do I configure Nozbe tools inside a Google ADK agent?

Install the package using pip install google-adk and initialize the MCP Server using StreamableHttpServerParameters. Pass the resulting McpToolset directly into your LlmAgent tools array to expose Nozbe capabilities like createproject.

Q: Can Google ADK read comments from my Nozbe workspace?

Yes, your Google ADK agent uses the listcomments tool to pull task conversations directly into Gemini's context. This allows the model to draft contextual replies or summarize discussion threads.

Q: Does the Nozbe integration with Google ADK support BigQuery data mapping?

Yes, your Google ADK system can fetch task data using listtasks and export it directly to BigQuery for reporting. Gemini correlates your database records with Nozbe tasks to keep your business intelligence accurate.

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Connect Nozbe MCP to Google ADK

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Analyzing Nozbe Workspaces with Google ADK

The `list_projects` tool fetches your entire Nozbe project catalog so your Google ADK agent can map out team priorities. Gemini parses this list alongside your BigQuery datasets to align Nozbe task creation with actual business metrics. This integration allows your Google ADK workflows to process hundreds of Nozbe projects simultaneously. You get clean Nozbe workspace mapping without hitting Gemini context limits or losing track of active team folders.

Deep Context Retrieval from Nozbe Tasks

The `list_tasks` tool feeds active Nozbe task backlogs directly into Gemini's million-token context window within your Google ADK setup. Your agent reviews months of Nozbe task history to identify bottlenecks in your team's execution. Because Google ADK supports deep reasoning, your agent cross-references these Nozbe tasks with system logs. You get automated Nozbe status reports that match real-world development updates without manual status meetings.

Executing Direct Workflow Updates via MCP Server

The `update_task` tool changes task priorities and assignments directly from your Google ADK decision engines. Your agent writes updates back to Nozbe immediately after analyzing BigQuery production alerts or database triggers. You configure this MCP Server toolset using `McpToolset` to limit Google ADK agent actions to specific Nozbe projects. This guarantees your automated scripts only modify the exact Nozbe tasks they are authorized to touch.

Setup guide

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

Install the package using `pip install google-adk` and initialize the MCP Server using `StreamableHttpServerParameters`. Pass the resulting `McpToolset` directly into your `LlmAgent` tools array to expose Nozbe capabilities like `create_project`.

Yes, your Google ADK agent uses the `list_comments` tool to pull task conversations directly into Gemini's context. This allows the model to draft contextual replies or summarize discussion threads.

Yes, your Google ADK system can fetch task data using `list_tasks` and export it directly to BigQuery for reporting. Gemini correlates your database records with Nozbe tasks to keep your business intelligence accurate.

You use standard MCP tool filters during initialization to restrict access to specific tools like `delete_task`. This prevents your Google ADK agent from accidentally removing critical Nozbe cards.

Your Nozbe API tokens are processed within Vinkius's isolated runtime environment, never exposing them to Google ADK's client-side logs. The agent interacts solely with the sanitized endpoint, keeping your workspace task lists and user profiles private.

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