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Query and analyze KnowBe4 training reports across clients with local SQLite storage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "KnowBe4 MCP" yet — see the docs or source repo.
Read all client training reports from KnowBe4 MCP, summarize completion rate, incomplete users, and overdue users for the last 90 days by client, and output a table with brief findings.
A client-level summary table of training completion, plus notable exceptions and risk highlights.
Using KnowBe4 data in the local SQLite store, identify the top 10 departments with the highest phishing test failure rates, including failure rate, tested users, and most recent test date, then provide improvement suggestions.
A ranked list of high-risk departments with key metrics and targeted training recommendations.
Using report data from KnowBe4 MCP, generate a monthly security awareness and phishing simulation report including participation, completion, failure-rate trends, and issues management should review.
A management-friendly monthly security report summary with trend analysis and priority action items.
Triage RocketCyber alerts, track MTTR, and analyze security posture.
Sync ConnectWise Automate data to SQLite for offline cross-client RMM analysis.
Access email threats, investigate cases, and generate reports in terminal or AI agents.
Let your AI agent manage PagerDuty alerts, incidents, and on-call workflows.
Sync Veeam console tenants to local SQLite for offline backup insights.
Triage backups, detect stale snapshots, and analyze backup health across engines.
Access and analyze KnowBe4 security awareness training and reporting data via API.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Build an intelligent knowledge base with semantic search and reasoning.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Manage OpenText Knowledge Discovery engines, databases, documents, and configuration with natural language.
Build persistent codebase memory for semantic search, impact analysis, and rule enforcement.