How to Use the CONSENSUS MCP in Google ADK

Q: Does CONSENSUS and Google ADK support custom tool filtering?

Yes, you can use the toolnames filter to restrict which functions your agent can see. This ensures your agent only interacts with the specific tools you want to expose.

Connect your Google ADK enterprise agents to live buyer behavior data with the CONSENSUS MCP Server.

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Connect CONSENSUS MCP to Google ADK

Create your Vinkius account to connect CONSENSUS 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 CONSENSUS with Google ADK

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Access buyer intent in Google ADK

Your agent uses `list_demolytics` to pull engagement data straight into your Gemini-powered workflow. It turns cold metrics into actionable context for your enterprise agents. This integration allows your agent to reason over which product features matter most to a specific account. It bridges the gap between your demo platform and Google Cloud infrastructure.

Catalog assets with Google ADK

The `list_demos` and `list_demoboards` tools give your agent a map of all available content. It identifies which product demos are ready for deployment. Your agent can now programmatically match demos to user personas. It keeps your asset inventory in sync with your agent's current task list.

Audit team activity in Google ADK

Use `list_users` to see who on your team is actively creating or sending content. This gives your agent the visibility to verify account permissions. It ensures your agent is acting on behalf of the correct user identity. This visibility helps maintain governance across your sales operations.

Setup guide

Set up CONSENSUS 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 CONSENSUS 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="CONSENSUS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CONSENSUS 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 CONSENSUS. 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.

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Real-time monitoring

Live

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Built-in savings

60%

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Common questions about CONSENSUS MCP in Google ADK

You pass the server parameters to the McpToolset class in your Python code. Once connected, your Google ADK agent can call any of the six provided tools.

Gemini's long-context window handles the data returned by the server with ease. The agent processes the lists and analytics to make informed decisions on prospect engagement.

Yes, you can use the tool_names filter to restrict which functions your agent can see. This ensures your agent only interacts with the specific tools you want to expose.

While the server provides the data via MCP, you can pipe these results directly into your BigQuery workflows. It acts as the bridge between your demo platform and your cloud data.

Data access is restricted to the specific endpoints provided by the MCP Server. Your Google ADK agent performs requests through an authenticated tunnel, ensuring no unauthorized access to your account details.

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