How to Use the Octoboard MCP in Google ADK

Q: How do I integrate Octoboard tools with Google ADK?

Install the toolkit and define the McpToolset with your server URL. Pass this into your agent's tool list to make the functions available for reasoning.

Q: Can my Google ADK agent list my active Octoboard dashboards?

Absolutely, just call listactivedashboards. The agent will receive a list of available dashboards to target for your next data push.

Q: Is it possible to filter tools for my Octoboard and Google ADK agent?

You can use the toolnames filter when initializing your toolset. This restricts the agent to only the specific push tools you want it to use.

Connect your Google ADK agents to Octoboard. Push marketing insights into your reporting suite without leaving your infrastructure.

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Connect Octoboard MCP to Google ADK

Create your Vinkius account to connect Octoboard to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Octoboard with Google ADK

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Your Google ADK agents need reliable data hooks. The `push_status_update` and `push_variation_metric` tools allow your agent to reflect market changes on your dashboards instantly. Configure your agent to use the `McpToolset` class. It maps the Octoboard tools directly into your agent's reasoning loop for immediate action.

Manage reporting workflows with Google ADK

Query your existing client list using `list_agency_clients`. Your agent identifies the right reporting dashboard before executing any data pushes. This eliminates manual mapping errors. The agent ensures the right data lands in the right dashboard every single time.

Monitor your reporting health

Use `get_api_status` to ensure your agent's environment is ready to push data. It provides a clean health check before you start building complex report updates. If you need to verify your credentials, `test_octoboard_auth` confirms your setup. It is a quick way to ensure your agent can talk to the platform.

Setup guide

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

Install the toolkit and define the `McpToolset` with your server URL. Pass this into your agent's tool list to make the functions available for reasoning.

Absolutely, just call `list_active_dashboards`. The agent will receive a list of available dashboards to target for your next data push.

You can use the tool_names filter when initializing your toolset. This restricts the agent to only the specific push tools you want it to use.

It allows your agent to act on data directly. Instead of generating a file, it updates the dashboard widget in real time.

Security is handled via your endpoint token. The server only processes the specific metrics your agent sends, keeping your underlying data sources isolated.

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