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KnowBe4 (KMSAT Reporting) MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect KnowBe4 (KMSAT Reporting) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "knowbe4-kmsat-reporting": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "KnowBe4 (KMSAT Reporting) Agent",
    instructions:
      "You help users interact with KnowBe4 (KMSAT Reporting) " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with KnowBe4 (KMSAT Reporting)?"
  );
  console.log(result.text);
}

main();
KnowBe4 (KMSAT Reporting)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About KnowBe4 (KMSAT Reporting) MCP Server

Connect your AI agent to KnowBe4 KMSAT to get real-time visibility into your organization's security posture.

Mastra's agent abstraction provides a clean separation between LLM logic and KnowBe4 (KMSAT Reporting) tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

Key Capabilities

  • User Auditing — List all users and their enrollment status to ensure full coverage of your training programs
  • Phishing Simulation Tracking — Monitor the results of phishing tests, including click and report rates
  • Risk Score Monitoring — Access individual and organizational risk scores to identify vulnerabilities
  • Compliance Reporting — Audit training campaign progress and completion across all departments
  • Group Management — View group assignments to understand how security policies are being applied

How to setup

1. Subscribe to this server
2. Log in to KnowBe4, go to Account Settings > Reporting API, and generate an API Key
3. Enter your key in the configuration panel
4. Start managing your security metrics via natural language

The KnowBe4 (KMSAT Reporting) MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect KnowBe4 (KMSAT Reporting) to Mastra AI via MCP

Follow these steps to integrate the KnowBe4 (KMSAT Reporting) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from KnowBe4 (KMSAT Reporting) via MCP

Why Use Mastra AI with the KnowBe4 (KMSAT Reporting) MCP Server

Mastra AI provides unique advantages when paired with KnowBe4 (KMSAT Reporting) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add KnowBe4 (KMSAT Reporting) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every KnowBe4 (KMSAT Reporting) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

KnowBe4 (KMSAT Reporting) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the KnowBe4 (KMSAT Reporting) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query KnowBe4 (KMSAT Reporting), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed KnowBe4 (KMSAT Reporting) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query KnowBe4 (KMSAT Reporting) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using KnowBe4 (KMSAT Reporting) tools alongside other MCP servers

KnowBe4 (KMSAT Reporting) MCP Tools for Mastra AI (10)

These 10 tools become available when you connect KnowBe4 (KMSAT Reporting) to Mastra AI via MCP:

01

get_account_risk_score

Critical for executive security reporting. Get the overall account risk score

02

get_phishing_test_details

Get detailed results for a phishing test

03

get_training_campaign_details

Get details for a training campaign

04

get_user_details

Get details for a specific user

05

list_groups

Useful for auditing training assignments. List all groups in KnowBe4

06

list_phishing_store_results

List results for phishing store items

07

list_phishing_tests

Returns test IDs, names, and high-level results. List phishing security tests

08

list_training_campaigns

Use this to audit compliance and completion rates across the organization. List security awareness training campaigns

09

list_user_groups

List groups for a specific user

10

list_users

Includes user IDs, names, emails, and current status. Essential for auditing user enrollment. List all users in KnowBe4 KMSAT

Example Prompts for KnowBe4 (KMSAT Reporting) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with KnowBe4 (KMSAT Reporting) immediately.

01

"Show me the overall risk score for my KnowBe4 account"

02

"List the results of our last phishing simulation"

03

"Which users have the highest risk scores?"

Troubleshooting KnowBe4 (KMSAT Reporting) MCP Server with Mastra AI

Common issues when connecting KnowBe4 (KMSAT Reporting) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

KnowBe4 (KMSAT Reporting) + Mastra AI FAQ

Common questions about integrating KnowBe4 (KMSAT Reporting) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect KnowBe4 (KMSAT Reporting) to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.