KnowBe4 (KMSAT Reporting) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect KnowBe4 (KMSAT Reporting) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"knowbe4-kmsat-reporting": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using KnowBe4 (KMSAT Reporting), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with KnowBe4 (KMSAT Reporting) through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the KnowBe4 (KMSAT Reporting) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from KnowBe4 (KMSAT Reporting) via MCP
Why Use LangChain with the KnowBe4 (KMSAT Reporting) MCP Server
LangChain provides unique advantages when paired with KnowBe4 (KMSAT Reporting) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine KnowBe4 (KMSAT Reporting) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across KnowBe4 (KMSAT Reporting) queries for multi-turn workflows
KnowBe4 (KMSAT Reporting) + LangChain Use Cases
Practical scenarios where LangChain combined with the KnowBe4 (KMSAT Reporting) MCP Server delivers measurable value.
RAG with live data: combine KnowBe4 (KMSAT Reporting) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query KnowBe4 (KMSAT Reporting), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain KnowBe4 (KMSAT Reporting) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every KnowBe4 (KMSAT Reporting) tool call, measure latency, and optimize your agent's performance
KnowBe4 (KMSAT Reporting) MCP Tools for LangChain (10)
These 10 tools become available when you connect KnowBe4 (KMSAT Reporting) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting KnowBe4 (KMSAT Reporting) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersKnowBe4 (KMSAT Reporting) + LangChain FAQ
Common questions about integrating KnowBe4 (KMSAT Reporting) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect KnowBe4 (KMSAT Reporting) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Connect KnowBe4 (KMSAT Reporting) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.