How to Use the BoardEffect MCP in Google ADK

Q: Why does Gemini's long context benefit board document reviews?

You can feed years of board documents retrieved via listdocuments directly into a single prompt. Gemini processes the entire history to find trends or compliance issues across multiple workrooms.

Connect BoardEffect to Google ADK to analyze board documents and meetings with Gemini's million-token context.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BoardEffect MCP to Google ADK

Create your Vinkius account to connect BoardEffect 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.

GDPR Free for Subscribers

Setup BoardEffect with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Board Analytics with Google ADK

To connect your board schedules directly to Gemini's reasoning engine, the BoardEffect MCP Server uses `list_meetings` and `get_meeting`. Because the ADK handles Google Cloud infrastructure natively, you can pipe these meeting agendas straight into BigQuery for long-term governance tracking.

Deep Document Search in Board Workrooms

By pulling board packets into Gemini's massive context window, this MCP toolset uses `list_workrooms` and `list_documents`. If you want to limit what the agent can see, use the tool names filter to restrict access to sensitive board archives.

Poll and Survey Analysis via Gemini

Exposing board feedback loops directly to your Google Cloud agents, the `list_polls` and `list_surveys` tools get raw sentiment data. You get a clear picture of board sentiment using Gemini to analyze the poll data without writing custom parsing scripts.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BoardEffect. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BoardEffect now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BoardEffect MCP in Google ADK

Use the McpToolset class with the streamable HTTP server parameters pointing to your Vinkius endpoint. Pass this toolset directly into your LlmAgent instance.

Yes. Use the tool names filter when setting up your McpToolset to exclude `list_archives`. This guarantees the agent never attempts to read historical records.

Yes. The ADK supports both transport methods. For Vinkius-hosted MCP deployments, you will use the HTTP transport to securely connect your agent to the board portal.

You can feed years of board documents retrieved via `list_documents` directly into a single prompt. Gemini processes the entire history to find trends or compliance issues across multiple workrooms.

All board documents, poll responses, and member directories are fetched on demand and processed in memory. Vinkius uses zero-trust V8 isolates to run the BoardEffect MCP server, ensuring your sensitive board data is never cached or stored on external disks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript