How to Use the KnowBe4 (KMSAT Reporting) MCP in Mastra AI
Automate security responses in Mastra AI using KnowBe4 data for conditional, resilient workflows.
Works with every AI agent you already use
…and any MCP-compatible client
Connect KnowBe4 (KMSAT Reporting) MCP to Mastra AI
Create your Vinkius account to connect KnowBe4 (KMSAT Reporting) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Trigger Workflows from Risk Scores
Create a Mastra AI workflow that automatically polls for your organization's risk score. The workflow starts by calling `get_account_risk_score`. If the score exceeds your defined threshold, your workflow can branch. It could then use `list_phishing_tests` and `get_phishing_test_details` to find the root cause and send a targeted alert to your security team's channel. Mastra's engine handles the logic.
Automate User Audits in Mastra AI
Set up a recurring workflow to audit user compliance. The workflow can fetch all users with `list_users` and check if they're in the right security groups with `list_user_groups`. If a user is missing a required group, the workflow can flag them for review. Since Mastra AI has built-in retries, intermittent API hiccups from the source won't break your audit process. This MCP server just provides the data.
Automate Phishing Test Follow-up
This is about closing the loop, automatically. A workflow can monitor phishing test results using `list_phishing_store_results`. For users who fail a test, the workflow can automatically find an appropriate remedial training campaign using `list_training_campaigns` and create a task for an admin to enroll them. You build the logic once, and it runs reliably.
Set up KnowBe4 (KMSAT Reporting) MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All KnowBe4 (KMSAT Reporting) tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "knowbe4-kmsat-reporting-mcp-client",
servers: {
"knowbe4-kmsat-reporting-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "KnowBe4 (KMSAT Reporting) Agent",
model: openai("gpt-4o"),
instructions: "You have access to KnowBe4 (KMSAT Reporting) tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent KnowBe4 (KMSAT Reporting) transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by KnowBe4. 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 KnowBe4 (KMSAT Reporting) MCP in Mastra AI
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