Falco MCP
Monitor runtime security with AI via MCP. Detect threats in containers and Kubernetes using Falco's runtime security engine.
What is Falco MCP?
Falco MCP connects AI to Falco, the CNCF runtime security project. Falco uses system call filtering to detect threats at runtime in containers, Kubernetes, and Linux hosts — providing real-time security monitoring.
Runtime Threat Detection
AI models can analyze Falco alerts, correlate security events, investigate suspicious container behavior, and help create custom detection rules — turning raw security signals into actionable intelligence.
Configuration
{"mcpServers":{"falco":{"command":"npx","args":["falco-mcp"],"env":{"FALCO_API_URL":"http://localhost:8765"}}}}Use Cases
Falco MCP serves security teams monitoring Kubernetes clusters, incident responders investigating runtime threats, and organizations building AI-powered security operations centers.
Key Features
- Monitor runtime security events
- Detect anomalous container behavior
- Query Falco rules and alerts
- Analyze syscall patterns
- Monitor Kubernetes audit events
- Track security incident timelines
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