How do I find my KnowBe4 Reporting API Key?

Log in to your KnowBe4 console, go to **Account Settings**, find the **Reporting API** section, and click **Enable Reporting API** to generate your token.

What metrics can I see for phishing tests?

You can see the number of users who clicked, reported, opened, or entered data in a specific simulation.

Can I see the risk score for a single department?

By listing groups and then auditing the risk scores of users within those groups, you can aggregate the security posture of specific teams.

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

Name: KnowBe4 (KMSAT Reporting)
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect KnowBe4 (KMSAT Reporting) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to KnowBe4 (KMSAT Reporting) "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in KnowBe4 (KMSAT Reporting)?"
    )
    print(result.data)

asyncio.run(main())

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About KnowBe4 (KMSAT Reporting) MCP Server

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

Pydantic AI validates every KnowBe4 (KMSAT Reporting) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from KnowBe4 (KMSAT Reporting) with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your KnowBe4 (KMSAT Reporting) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your KnowBe4 (KMSAT Reporting) connection logic from agent behavior for testable, maintainable code

KnowBe4 (KMSAT Reporting) + Pydantic AI Use Cases

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

Type-safe data pipelines: query KnowBe4 (KMSAT Reporting) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple KnowBe4 (KMSAT Reporting) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query KnowBe4 (KMSAT Reporting) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock KnowBe4 (KMSAT Reporting) responses and write comprehensive agent tests

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

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

get_account_risk_score

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

get_phishing_test_details

Get detailed results for a phishing test

get_training_campaign_details

Get details for a training campaign

get_user_details

Get details for a specific user

list_groups

Useful for auditing training assignments. List all groups in KnowBe4

list_phishing_store_results

List results for phishing store items

list_phishing_tests

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

list_training_campaigns

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

list_user_groups

List groups for a specific user

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 Pydantic AI

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

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

"List the results of our last phishing simulation"

"Which users have the highest risk scores?"

Troubleshooting KnowBe4 (KMSAT Reporting) MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

KnowBe4 (KMSAT Reporting) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your KnowBe4 (KMSAT Reporting) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.