How to Use the WebVizio MCP in Google ADK

Q: How do I list all WebVizio projects with Google ADK?

You initiate the process by calling listwebvizioprojects. This provides a structured output that your Gemini model can analyze against historical data in BigQuery.

Q: Does Google ADK support updating tasks for WebVizio?

Yes, you use the updatewebviziotask tool. This lets your agent change task statuses or adjust details based on complex reasoning from BigQuery context.

Q: What types of feedback can I list with WebVizio and Google ADK?

You can list tasks (listwebviziotasks), comments (listwebviziocomments), or all projects (listwebvizioprojects). All this structured data is great for long-context processing.

Q: How do I check existing WebVizio webhooks using Google ADK?

Simply run listwebviziowebhooks. This tells you exactly what external services are already listening to this MCP Server's events.

Feed web feedback into BigQuery using the Google ADK framework.

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Connect WebVizio MCP to Google ADK

Create your Vinkius account to connect WebVizio 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 WebVizio with Google ADK

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Analyze WebVizio Projects with the MCP Server

The agent gets a complete picture of your workstreams. Start by calling `list_webvizio_projects` to see every project, and then use `get_webvizio_project_details` for deep dives into any one project. This structure is perfect for ingesting into BigQuery later.

Manage Task Workflows with Google ADK

You can create new feedback tasks using `create_webvizio_task`. When the task needs review, you update its status or details via `update_webvizio_task`. Need to know what's happening? Call `list_webvizio_tasks` for a comprehensive list of all tasks in a given project.

Collect and Annotate Feedback Data

WebVizio lets you capture annotations directly. Your agent can add comments using `add_webvizio_comment`, or retrieve the history by calling `list_webvizio_comments`. If you need to check existing webhook setups, use `list_webvizio_webhooks`.

Setup guide

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

You initiate the process by calling `list_webvizio_projects`. This provides a structured output that your Gemini model can analyze against historical data in BigQuery.

Yes, you use the `update_webvizio_task` tool. This lets your agent change task statuses or adjust details based on complex reasoning from BigQuery context.

You can list tasks (`list_webvizio_tasks`), comments (`list_webvizio_comments`), or all projects (`list_webvizio_projects`). All this structured data is great for long-context processing.

Simply run `list_webvizio_webhooks`. This tells you exactly what external services are already listening to this MCP Server's events.

This server touches Project, Task, Comment, and Webhook configuration data. All these fields can be pulled into your Google Cloud environment.

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