How to Use the Elevio MCP in Google ADK

Q: How does the Google ADK use Elevio for search?

Your agent, likely powered by Gemini, calls the searchknowledgearticles tool with a query. The tool returns a list of matching articles from Elevio, which the agent can then use to answer a question or present to a user.

Q: Can I use this to find empty categories in Elevio with a Google ADK agent?

Yes. The agent simply calls the listemptyknowledgecategories tool. It gets back a list of categories with zero articles, which is useful for routine content cleanup.

Q: Does this integration require a lot of setup?

No, the setup is minimal. You instantiate the McpToolset in your Python code with the Vinkius URL, and the Google ADK agent discovers the Elevio tools from the MCP server automatically.

Connect your Google ADK agent to your Elevio knowledge base to inform Gemini models and automate content workflows.

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Connect Elevio MCP to Google ADK

Create your Vinkius account to connect Elevio 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 Elevio with Google ADK

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Automate KB Health Checks

Your knowledge base decays. It's a fact. Use an agent to fight the rot by running a `quick_content_health_audit` on a schedule. It gives you a clear picture of article and category counts without any manual work. The agent can then identify specific problems, like finding empty parent categories with `list_empty_knowledge_categories` or spotting stale content by checking `list_draft_knowledge_articles`. You get a report of what to fix, not a week-long manual audit.

Ground Your Agents in Reality

A powerful agent needs good data. Use this MCP Server to let your Gemini-powered agent query your real-time documentation. It can use `search_knowledge_articles` to find the right docs and then feed the full content from `get_article_details` into its context window. This means your support agent gives answers based on your actual, published articles—not a stale data export. You can even track documentation changes with `list_latest_article_updates` to keep your agent's knowledge fresh.

Manage Elevio Config from Your Agent

Give your agent visibility into your entire Elevio configuration. It can pull a full list of your help content with `list_knowledge_articles` or check your content hierarchy with `list_knowledge_categories`. This is useful for building dashboards or alerts inside Google Cloud. Your agent can check which Elevio modules are active with `list_active_modules` and log the status, giving you a single pane of glass for your support infrastructure.

Setup guide

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

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Common questions about Elevio MCP in Google ADK

Your agent, likely powered by Gemini, calls the `search_knowledge_articles` tool with a query. The tool returns a list of matching articles from Elevio, which the agent can then use to answer a question or present to a user.

It directly connects your agent on Google Cloud to your live Elevio knowledge base. This avoids building a custom data pipeline or constantly syncing your help articles into BigQuery just to make them accessible.

Yes. The agent simply calls the `list_empty_knowledge_categories` tool. It gets back a list of categories with zero articles, which is useful for routine content cleanup.

No, the setup is minimal. You instantiate the `McpToolset` in your Python code with the Vinkius URL, and the Google ADK agent discovers the Elevio tools from the MCP server automatically.

Your Elevio article content and category information are streamed to your agent running in your Google Cloud environment. The data is processed in memory and isn't stored by Vinkius. Your own logging and data handling policies within GCP apply.

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