How to Use the KnowledgeOwl MCP in Google ADK

Q: How does Google ADK handle KnowledgeOwl glossary terms?

The agent calls listkbglossary to pull your official definitions. It loads these terms into Gemini's context window to keep its explanations accurate.

Q: How can I restrict which tools the Gemini agent can use?

Use the toolnames parameter in your McpToolset configuration. This lets you limit the agent to only read tools like getarticlecontent while hiding administrative settings.

Connect Gemini to KnowledgeOwl via Google ADK to analyze help center articles alongside your BigQuery data.

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Connect KnowledgeOwl MCP to Google ADK

Create your Vinkius account to connect KnowledgeOwl 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 KnowledgeOwl with Google ADK

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High-Context Help Center Search via Google ADK

`search_help_center` feeds live documentation search results directly into your Gemini long-context window. The Google ADK agent pulls relevant articles and reasons across thousands of words of technical text in one go. This MCP Server works over HTTP or Stdio transports. You can filter the exposed tools in your Python script to ensure your Gemini agent only accesses specific search functions.

Deep Content Audits with BigQuery

`list_kb_articles` extracts your entire KnowledgeOwl article list for analysis. You can pipe this structural data into BigQuery to cross-reference customer support tickets with existing help docs. The agent uses `get_article_content` to fetch the text of flagged articles over the MCP protocol. It analyzes the content inside Vertex AI to find gaps where documentation fails to address common user complaints.

Project Setting and Template Extraction

`list_project_settings` retrieves your help center configuration, giving your Google ADK agent the rules of your workspace. It keeps your agent aligned with your specific portal settings. You initialize the MCP Server as an external toolset using McpToolset. The agent checks `list_article_templates` to see how your team structures new documentation, ensuring generated drafts match the exact layout your team expects.

Setup guide

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

Initialize McpToolset with StreamableHttpServerParameters pointing to your Vinkius URL. Pass that toolset to your LlmAgent constructor in Python.

Yes, this MCP Server supports both HTTP and Stdio transports. You configure the connection method in your Google ADK environment settings.

The agent calls `list_kb_glossary` to pull your official definitions. It loads these terms into Gemini's context window to keep its explanations accurate.

Use the tool_names parameter in your McpToolset configuration. This lets you limit the agent to only read tools like `get_article_content` while hiding administrative settings.

Your KnowledgeOwl settings, articles, and category metadata are processed in transit through this MCP Server connection. No data is stored, and your API keys are isolated from Google Cloud's public logs.

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