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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.
Read Xero data and a local SQLite ledger for aging and reconciliation.
Access Autotask entities by CLI and analyze ticket aging locally.
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.
Access SuperOps PSA+RMM data in terminal and query it via local SQLite.
Secure internal knowledge retrieval with permission-aware access control and citation enforcement.
Search and read Acumatica knowledge base files using natural language.
Build an intelligent knowledge base with semantic search and reasoning.
Manage project knowledge and requirements with fast full-text search and updates.
Centralize knowledge, run semantic search, ingest documents, and generate RAG answers.
Manage OpenText Knowledge Discovery engines, databases, documents, and configuration with natural language.