How to Use the KnowBe4 (KMSAT Reporting) MCP in CrewAI

Q: How can my CrewAI agents work together on KnowBe4 (KMSAT Reporting) data?

You assign different roles. One agent could use listusers to generate a work queue. A second agent could then process that queue, calling getuserdetails on each user to check their status, passing results to a third agent for summary.

Q: What's a good starter project for KnowBe4 (KMSAT Reporting) with CrewAI?

Build a reporting crew. Have one agent get the main getaccountriskscore. Have a second agent get the top 5 failing campaigns from listphishingtests. A third agent can then format this into a daily security brief.

Q: How do I limit which KnowBe4 tools my CrewAI agents can use?

When configuring the MCP server in CrewAI, you can use the toolfilter argument. This lets you expose only specific tools, like getaccountriskscore, to a certain agent, enforcing role specialization.

Deploy an autonomous security audit crew with CrewAI to monitor KnowBe4 risk and report on compliance.

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Connect KnowBe4 (KMSAT Reporting) MCP to CrewAI

Create your Vinkius account to connect KnowBe4 (KMSAT Reporting) to CrewAI 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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Setup KnowBe4 (KMSAT Reporting) with CrewAI

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Deploy a Compliance Audit Crew

Assign a 'Compliance Auditor' agent its first task: get all security groups using `list_groups`. Then, a 'User Analyst' agent takes that list and cross-references it against every employee returned by `list_users`. A final 'Reporting' agent compiles the findings from this MCP server, highlighting users not enrolled in mandatory training groups. This entire crew runs autonomously, giving you a complete audit without any manual work.

Assemble a Phishing Intel Crew

This is a multi-agent workflow for proactive threat hunting. An 'Observer' agent runs `list_phishing_tests` to find new campaigns. When it finds one, it passes the ID to an 'Analyst' agent. The Analyst agent uses `get_phishing_test_details` to dig into the results, identifying users who failed. A 'Remediation' agent then takes that list, pulls their details with `get_user_details`, and assigns a follow-up task.

Run a Continuous Risk Monitoring Crew

Set up a simple, two-agent crew for executive reporting. The first agent, the 'Metric Collector,' has one job: call `get_account_risk_score` every hour. The second agent, the 'Trend Analyst,' logs that score. If it sees a significant negative trend over a 24-hour period, it's tasked to generate a summary report and send an alert. It's a simple but powerful autonomous monitoring system.

Setup guide

Set up KnowBe4 (KMSAT Reporting) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke KnowBe4 (KMSAT Reporting) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="KnowBe4 (KMSAT Reporting) Analyst",
    goal="Access and analyze KnowBe4 (KMSAT Reporting) data via MCP.",
    backstory="Expert analyst with direct KnowBe4 (KMSAT Reporting) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent KnowBe4 (KMSAT Reporting) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="KnowBe4 (KMSAT Reporting) Analyst",
        goal="Access and analyze KnowBe4 (KMSAT Reporting) data via MCP.",
        backstory="Expert analyst with direct KnowBe4 (KMSAT Reporting) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent KnowBe4 (KMSAT Reporting) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

You assign different roles. One agent could use `list_users` to generate a work queue. A second agent could then process that queue, calling `get_user_details` on each user to check their status, passing results to a third agent for summary.

Yes, that's how CrewAI is designed to work. An agent can monitor the output of `list_phishing_tests`. When a test completes, it can delegate the analysis of `get_phishing_test_details` to a specialized analysis agent.

Build a reporting crew. Have one agent get the main `get_account_risk_score`. Have a second agent get the top 5 failing campaigns from `list_phishing_tests`. A third agent can then format this into a daily security brief.

When configuring the MCP server in CrewAI, you can use the `tool_filter` argument. This lets you expose only specific tools, like `get_account_risk_score`, to a certain agent, enforcing role specialization.

Yes. The server only has read access to KnowBe4 data like user emails and campaign performance. Vinkius enforces a zero-trust security model, where every request is authenticated and executed in a completely separate, temporary environment that is destroyed after use.

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