Enables security administrators to manage their pfSense firewalls using natural language through AI assistants.
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The pfSense tool serves as a production-grade Model Context Protocol (MCP) server, empowering security administrators to interact with their pfSense firewalls using natural language commands. By integrating with AI assistants like Claude Desktop, it eliminates the need for navigating complex interfaces, allowing users to simply ask questions like "Show me blocked IPs" or initiate actions like "Run a PCI compliance check." It boasts robust features including a 5-level Role-Based Access Control (RBAC) system, support for REST, XML-RPC, and SSH connections, and comprehensive coverage across six functional security operation categories, making it production-ready with audit logging and rate limiting.
Key Features
01Natural language interface for pfSense control
02Supports REST, XML-RPC, and SSH connection methods
03Integrates with Claude Desktop, Continue, and other GenAI clients
04Production-ready with audit logging, rate limiting, and caching
052 GitHub stars
065-level Role-Based Access Control (RBAC)
Use Cases
01Managing pfSense firewall configurations and rules through natural language prompts.
02Performing security operations like IP blocking, threat analysis, and compliance checks via AI assistants.
03Enabling tiered access for security teams (e.g., read-only for analysts, admin access for engineers) to pfSense firewalls.
