KnowBe4 (KMSAT Reporting) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add KnowBe4 (KMSAT Reporting) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to KnowBe4 (KMSAT Reporting). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in KnowBe4 (KMSAT Reporting)?"
)
print(response)
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.
LlamaIndex agents combine KnowBe4 (KMSAT Reporting) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the KnowBe4 (KMSAT Reporting) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from KnowBe4 (KMSAT Reporting)
Why Use LlamaIndex with the KnowBe4 (KMSAT Reporting) MCP Server
LlamaIndex provides unique advantages when paired with KnowBe4 (KMSAT Reporting) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine KnowBe4 (KMSAT Reporting) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain KnowBe4 (KMSAT Reporting) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query KnowBe4 (KMSAT Reporting), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what KnowBe4 (KMSAT Reporting) tools were called, what data was returned, and how it influenced the final answer
KnowBe4 (KMSAT Reporting) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the KnowBe4 (KMSAT Reporting) MCP Server delivers measurable value.
Hybrid search: combine KnowBe4 (KMSAT Reporting) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query KnowBe4 (KMSAT Reporting) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying KnowBe4 (KMSAT Reporting) for fresh data
Analytical workflows: chain KnowBe4 (KMSAT Reporting) queries with LlamaIndex's data connectors to build multi-source analytical reports
KnowBe4 (KMSAT Reporting) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect KnowBe4 (KMSAT Reporting) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting KnowBe4 (KMSAT Reporting) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKnowBe4 (KMSAT Reporting) + LlamaIndex FAQ
Common questions about integrating KnowBe4 (KMSAT Reporting) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect KnowBe4 (KMSAT Reporting) with your favorite client
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Connect KnowBe4 (KMSAT Reporting) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.