How to Use the DISQO MCP in Google ADK

Integrate DISQO with Google ADK. Build enterprise agents that reason over consumer insights and behavioral data on Google Cloud.

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Connect DISQO MCP to Google ADK

Create your Vinkius account to connect DISQO 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 DISQO with Google ADK

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Consumer insight retrieval for Google ADK

Connect your agent to deep consumer reports using `search_insights_by_keyword`. It scans your available library to find the exact behavioral findings needed for your analysis. Your agent then uses `list_consumer_insights` to catalog findings. This keeps your reasoning process grounded in actual research data.

Direct MCP Server metadata access

Keep your Google ADK agent informed about your account limits and status. It calls `get_platform_metadata` to verify system health before initiating large data requests. This prevents runtime errors during heavy research cycles. Your agent stays aware of its current environment constraints.

Panelist segment identification

Your agent maps out research opportunities by querying `list_largest_research_panels`. It identifies where the highest volume of consumer data resides for any given project. It cross-references this with `list_research_audiences` to confirm availability. This allows your agent to plan research deployments with high precision.

Setup guide

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

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Common questions about DISQO MCP in Google ADK

Yes. The server supports standard HTTP and Stdio transports, making it a simple addition to your existing Google ADK toolset.

You can use a tool name filter when initializing the McpToolset. This restricts your agent to only the specific DISQO functions you want it to use.

Absolutely. Since the MCP Server provides clean data outputs, your agent can feed large sets of behavioral metrics directly into the 1M+ token context window.

Your agent only holds the data returned during a specific request. Once the task finishes, the ephemeral nature of the MCP connection ensures no persistent data leaks.

The server provides access to aggregated behavioral metrics and panel metadata. It does not expose raw, personally identifiable consumer records, keeping your data handling compliant.

Use it with your favorite AI tools

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

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