How to Use the Infinity MCP in Google ADK

Q: Can Google ADK write new tasks to an Infinity board?

Yes, you can use createboarditem within your agent toolset. Google ADK handles the execution, allowing Gemini to write clean tasks based on external database triggers.

Q: How do I initialize the Infinity toolset inside Google ADK?

Import McpToolset and pass your Vinkius HTTP URL to the server parameters. This registers the MCP server directly inside your Google ADK configuration.

Q: Can I restrict which tools are exposed to my Gemini agent?

Yes, you can use the toolnames filter in the toolset parameters. This lets you restrict write operations like removeboarditem while keeping read-only tools active.

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Connect Infinity MCP to Google ADK

Create your Vinkius account to connect Infinity 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 Infinity with Google ADK

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Analyze giant Infinity boards using Google ADK

Feed thousands of tasks from `list_board_items` directly into Gemini's massive context window. Google ADK lets your agent process entire project backlogs at once without running out of token memory. The MCP server exposes these folders directly, so you don't have to chunk data or make multiple API roundtrips.

Sync BigQuery records to Infinity via Google ADK

Build enterprise pipelines that pull dataset updates from Google Cloud and write them to your project boards. Google ADK coordinates these data flows, letting you run `create_board_item` to update your team's roadmap. Keep your data warehouse and project management tool in perfect alignment. When a pipeline flags an anomaly, the agent writes the task details directly to your board.

Monitor active MCP Server webhooks with Vertex AI

Keep track of live project events by pulling configurations with `list_board_webhooks`. Google ADK connects these events to Gemini, letting you analyze webhook payloads for workflow anomalies. The agent uses `check_api_health` to verify connection status before running deep analytical tasks. This ensures your automated project pipelines never fail silently.

Setup guide

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

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Common questions about Infinity MCP in Google ADK

Yes, you can use `create_board_item` within your agent toolset. Google ADK handles the execution, allowing Gemini to write clean tasks based on external database triggers.

Import `McpToolset` and pass your Vinkius HTTP URL to the server parameters. This registers the MCP server directly inside your Google ADK configuration.

The framework utilizes Gemini's long-context window to ingest massive lists from `list_board_items`. This MCP setup lets your Google ADK agent analyze entire boards without hitting token limits.

Yes, you can use the `tool_names` filter in the toolset parameters. This lets you restrict write operations like `remove_board_item` while keeping read-only tools active.

All task comments and board structures are processed in ephemeral V8 sandboxes. This secure MCP Server architecture enforces a zero-trust model, meaning your proprietary project data never persists on our servers.

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