How to Use the KnowBe4 (KMSAT Reporting) MCP in OpenAI Agents SDK
Audit security awareness and track phishing risks directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect KnowBe4 (KMSAT Reporting) MCP to OpenAI Agents SDK
Create your Vinkius account to connect KnowBe4 (KMSAT Reporting) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Monitor risk scores with OpenAI Agents SDK
Stop guessing which employees pose the biggest threat. Use `get_account_risk_score` to pull raw data into your agent logic and trigger immediate follow-up actions for high-risk individuals. This keeps your security posture proactive. Your agents interpret these metrics without manual intervention, ensuring your response stays as fast as the incoming threat data.
Automate phishing test oversight
Stop digging through dashboards to find campaign results. Your agent calls `list_phishing_tests` to grab the latest data and feeds it into your automated reporting workflows. It doesn't stop there. By invoking `get_phishing_test_details`, your system inspects specific failure patterns to determine if users need additional, targeted training sessions.
Manage user training compliance
Auditing thousands of users is a nightmare without automation. Use `list_users` alongside `list_training_campaigns` to cross-reference enrollment status against current completion metrics. Your agent flags missing training assignments in real-time. This keeps your compliance data accurate and ensures no employee slips through the cracks during quarterly audits.
Set up KnowBe4 (KMSAT Reporting) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all KnowBe4 (KMSAT Reporting) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives KnowBe4 (KMSAT Reporting) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate KnowBe4 (KMSAT Reporting) tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="KnowBe4 (KMSAT Reporting) Agent",
instructions="You have access to KnowBe4 (KMSAT Reporting) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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 OpenAI Agents SDK
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