How to Use the KnowBe4 (KMSAT Reporting) MCP in Google ADK

Q: How do I add KnowBe4 (KMSAT Reporting) to my Google ADK agent?

You initialize the McpToolset with the Vinkius URL. Once registered, your agent gains the ability to query phishing and training data alongside your existing Google Cloud infrastructure.

Q: Does KnowBe4 (KMSAT Reporting) support Google ADK long-context reasoning?

It does. You pass large datasets from listphishingstoreresults into the context window. Your agent then reasons over thousands of records to find hidden security trends.

Get granular security insights in your Google ADK agent framework using the KnowBe4 (KMSAT Reporting) MCP Server.

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Connect KnowBe4 (KMSAT Reporting) MCP to Google ADK

Create your Vinkius account to connect KnowBe4 (KMSAT Reporting) 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 KnowBe4 (KMSAT Reporting) with Google ADK

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Analyze risk with Google ADK

Pull your organization's risk profile directly into your Google Cloud agent. `get_account_risk_score` gives you the numbers you need to feed into your BigQuery analytics tables. This creates a feedback loop for your security operations. Your agents track trends over time to see if training actually impacts the risk scores of your user base.

Audit training campaigns at scale

You need to know who finished their modules and who ignored them. `list_training_campaigns` and `get_training_campaign_details` provide the exact completion status for every employee. Your agent processes this data to generate reports in Google Docs or Sheets. It removes the manual labor of tracking completion rates across different departments.

Map phishing results to user groups

High-risk groups often require different security tactics. Use `list_groups` and `list_user_groups` to correlate training performance with specific department structures. Your agents identify which groups fail phishing tests the most. This allows you to deploy focused training to the departments that need it the most, rather than wasting time on low-risk teams.

Setup guide

Set up KnowBe4 (KMSAT Reporting) 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 KnowBe4 (KMSAT Reporting) 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="KnowBe4 (KMSAT Reporting)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to KnowBe4 (KMSAT Reporting) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about KnowBe4 (KMSAT Reporting) MCP in Google ADK

You initialize the `McpToolset` with the Vinkius URL. Once registered, your agent gains the ability to query phishing and training data alongside your existing Google Cloud infrastructure.

Yes. You restrict access by passing a tool name filter during initialization. This ensures your agent only interacts with the specific reporting tools you want it to use.

It does. You pass large datasets from `list_phishing_store_results` into the context window. Your agent then reasons over thousands of records to find hidden security trends.

Vinkius handles the handshake. You provide a single endpoint token, and the server manages the secure connection to the API on your behalf.

The server only reads user names and email addresses required for reporting. All data is transferred over encrypted channels and never stored by the server itself.

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