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MCP server for KnowBe4 — security awareness training, phishing simulation, and user risk management API integration
MCP server for KnowBe4 — security awareness training, phishing simulation, and user risk management API integration
A Model Context Protocol (MCP) server for KnowBe4 security awareness training. Enables AI assistants to manage phishing simulations, training campaigns, user risk scoring, and security awareness reporting.
This is a Model Context Protocol (MCP) server that connects Claude (or any MCP-compatible AI) to your KnowBe4 environment.
Part of the MSP Claude Plugins ecosystem — a growing suite of AI integrations for the MSP stack. Built by MSPs, for MSPs.
npm install @wyre-technology/knowbe4-mcp
Set the following environment variables:
| Variable | Required | Description |
|---|---|---|
KNOWBE4_API_KEY |
Yes | Your KnowBe4 API key |
KNOWBE4_REGION |
No | API region: us, eu, ca, uk, de (default: us) |
KNOWBE4_BASE_URL |
No | Custom base URL (overrides region) |
MCP_TRANSPORT |
No | Transport mode: stdio (default) or http |
Add to your Claude Desktop claude_desktop_config.json:
{
"mcpServers": {
"knowbe4-mcp": {
"command": "npx",
"args": ["@wyre-technology/knowbe4-mcp"],
"env": {
"KNOWBE4_API_KEY": "your-knowbe4-api-key"
}
}
}
}
claude mcp add knowbe4-mcp \
-e KNOWBE4_API_KEY=your-value \
-- npx -y @wyre-technology/knowbe4-mcp
docker build -t knowbe4-mcp .
docker run \
-e KNOWBE4_API_KEY=your-value \
-p 8080:8080 knowbe4-mcp
Account information and settings
User group management
Phishing simulation campaigns
Security awareness reports
Training campaign management
User management and risk scoring
# Clone the repository
git clone https://github.com/wyre-technology/knowbe4-mcp.git
cd knowbe4-mcp
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
Contributions are welcome! Please see CONTRIBUTING.md if present, or open an issue to discuss changes.
Licensed under the Apache License, Version 2.0. See LICENSE for details.
Выполни в терминале:
claude mcp add knowbe4-mcp -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.