How to Use the YesNo MCP in Google ADK

Q: Does the YesNo MCP Server allow me to force an answer with Google ADK?

It does. Just pass the required value to getdecision. This lets you guarantee that the decision input matches what your downstream BigQuery process expects.

Integrate random yes/no decisions directly into your Google ADK enterprise workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect YesNo MCP to Google ADK

Create your Vinkius account to connect YesNo 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 YesNo with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Determine a binary outcome

Your agent calls `get_decision` to get a random choice, returning 'yes', 'no', or 'maybe'. This is useful for flagging ambiguous records in BigQuery. The output includes a GIF. Your Gemini model can process this visual context along with the text decision.

Mandate a specific result

If your business logic demands a 'yes' or 'no', you use `get_decision` to force that answer. This is crucial when correlating data sets where one field must dictate the final outcome. It ensures your agent doesn't get stuck in ambiguity when processing enterprise records.

Simulate a quick poll result

Use `get_decision` to simulate a simple decision, treating it like an initial vote or internal consensus. It keeps the overhead low for your long-context reasoning. This tool adds immediate context—both textual and visual—to decisions made on Google Cloud.

Setup guide

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

Yes. You pass the MCP server as a toolset to your LlmAgent, and it handles the execution flow. It's straightforward integration into your existing Google Cloud environment.

It does. Just pass the required value to `get_decision`. This lets you guarantee that the decision input matches what your downstream BigQuery process expects.

The server works with simple string decisions ('yes', 'no', 'maybe'). This type of discrete, categorical data is easy for Gemini models to process and reason over.

It's designed for utility. It adds a decision point without adding complexity, making it ideal for enriching your long-context data pipelines.

No, you just need an endpoint token to connect. The tool is self-contained and focuses purely on generating a random or forced decision string.

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