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How to Use the Infinity Work Manager MCP in Google ADK

Connect Infinity Work Manager to your Gemini models with Google ADK for enterprise-grade workspace automation.

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Google ADK

Connect Infinity Work Manager MCP to Google ADK

Create your Vinkius account to connect Infinity Work Manager 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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Long-Context Workspace Analysis

The `list_items` tool feeds thousands of task records directly into Gemini's massive 1M-token context window. You can pull entire board histories without worrying about token limits or truncation. The Google ADK structures this data from the MCP server so your model can find patterns across quarters of work. Your agent processes these items alongside historical data from BigQuery. This allows the model to generate accurate status updates and write them back using `create_comment` to keep teams aligned.

Enterprise Board Provisioning with Google ADK

The `create_board` tool allows your enterprise agent to set up standard project tracking environments directly from Vertex AI pipelines. When a new customer signs or a project starts, the Google ADK triggers the initialization automatically. The agent then calls `create_folder` and `list_attributes` to match your organization's custom schema. This ensures every team works with identical, pre-configured layouts without manual setup.

Real-Time Task Sync via MCP Server

The `update_item` tool updates task attributes instantly when triggered by events in your Google Cloud infrastructure. You map Cloud Functions to your agent, allowing external system alerts to change project states. The agent uses `get_item` to verify the current state before making changes. This prevents overwriting manual updates and maintains clean board data.

Setup guide

Set up Infinity Work Manager 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Infinity Work Manager 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="Infinity Work Manager_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Infinity Work Manager tools via MCP.",
    tools=mcp_tools,
)

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

Install `google-adk` and create an `McpToolset` pointing to your Vinkius HTTP URL. Pass this toolset into your `LlmAgent` tools array to expose all 15 capabilities, including `list_boards` and `get_profile`.
Yes. Your Gemini agent can query BigQuery for raw performance metrics, then use `list_items` via the MCP server to correlate database records with actual project tasks.
You provide your API token as an environment variable to the Vinkius hosted server. The Google ADK client only needs to authenticate with your single Vinkius endpoint, keeping your production credentials secure.
Yes, you can use the `tool_names` filter in the `McpToolset` constructor. This lets you restrict the agent to read-only operations like `get_board` and block destructive tools like `delete_item`.
Yes. Your workspace IDs, folder names, and custom attributes are transmitted securely via HTTPS. Vinkius processes these requests inside ephemeral, zero-trust sandboxes that discard transaction data immediately after execution.

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