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

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to KnowBe4 (KMSAT Reporting) through Vinkius, pass the Edge URL in the `mcps` parameter and every KnowBe4 (KMSAT Reporting) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="KnowBe4 (KMSAT Reporting) Specialist",
    goal="Help users interact with KnowBe4 (KMSAT Reporting) effectively",
    backstory=(
        "You are an expert at leveraging KnowBe4 (KMSAT Reporting) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in KnowBe4 (KMSAT Reporting) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
KnowBe4 (KMSAT Reporting)
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High SecurityEnterprise-grade
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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.

When paired with CrewAI, KnowBe4 (KMSAT Reporting) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call KnowBe4 (KMSAT Reporting) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai

02

Replace the token

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

03

Customize the agent

Adjust the role, goal, and backstory to fit your use case

04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from KnowBe4 (KMSAT Reporting)

Why Use CrewAI with the KnowBe4 (KMSAT Reporting) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with KnowBe4 (KMSAT Reporting) through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

KnowBe4 (KMSAT Reporting) + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries KnowBe4 (KMSAT Reporting) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries KnowBe4 (KMSAT Reporting), analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain KnowBe4 (KMSAT Reporting) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries KnowBe4 (KMSAT Reporting) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

KnowBe4 (KMSAT Reporting) MCP Tools for CrewAI (10)

These 10 tools become available when you connect KnowBe4 (KMSAT Reporting) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

KnowBe4 (KMSAT Reporting) + CrewAI FAQ

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

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

Connect KnowBe4 (KMSAT Reporting) to CrewAI

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