2,500+ MCP servers ready to use
Vinkius

KnowBe4 (KMSAT Reporting) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect KnowBe4 (KMSAT Reporting) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="KnowBe4 (KMSAT Reporting) Assistant",
            instructions=(
                "You help users interact with KnowBe4 (KMSAT Reporting). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from KnowBe4 (KMSAT Reporting)"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 10 tools from KnowBe4 (KMSAT Reporting) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries KnowBe4 (KMSAT Reporting), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the KnowBe4 (KMSAT Reporting) MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from KnowBe4 (KMSAT Reporting)

Why Use OpenAI Agents SDK with the KnowBe4 (KMSAT Reporting) MCP Server

OpenAI Agents SDK provides unique advantages when paired with KnowBe4 (KMSAT Reporting) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

KnowBe4 (KMSAT Reporting) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the KnowBe4 (KMSAT Reporting) MCP Server delivers measurable value.

01

Automated workflows: build agents that query KnowBe4 (KMSAT Reporting), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries KnowBe4 (KMSAT Reporting), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through KnowBe4 (KMSAT Reporting) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query KnowBe4 (KMSAT Reporting) to resolve tickets, look up records, and update statuses without human intervention

KnowBe4 (KMSAT Reporting) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect KnowBe4 (KMSAT Reporting) to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting KnowBe4 (KMSAT Reporting) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

KnowBe4 (KMSAT Reporting) + OpenAI Agents SDK FAQ

Common questions about integrating KnowBe4 (KMSAT Reporting) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect KnowBe4 (KMSAT Reporting) to OpenAI Agents SDK

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