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How to Use the KnowBe4 (KMSAT Reporting) MCP in Mastra AI

Automate security responses in Mastra AI using KnowBe4 data for conditional, resilient workflows.

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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.

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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.

Setup guide

Set up KnowBe4 (KMSAT Reporting) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All KnowBe4 (KMSAT Reporting) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
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

Yes, that's a primary use case. Your Mastra AI agent can periodically call `get_account_risk_score` and use conditional logic to trigger other actions, like alerting or running deeper diagnostics with other tools.
The `list_users` tool gives you all users. You can then loop through them in your workflow and call `list_user_groups` for each one to build a complete map of your group assignments.
Definitely. A workflow can use `list_training_campaigns` and `get_training_campaign_details` to check completion rates. If a campaign is falling behind, the workflow can escalate the issue automatically.
Mastra AI handles that. It has automatic retries with exponential backoff, so a temporary network issue or API rate limit won't cause your entire security automation to fail.
The server has read-only access to your KnowBe4 user information, group data, and security campaign results. All operations are stateless and run in isolated containers on Vinkius, meaning your data is processed for the request and then discarded.

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