Enables AI-powered management of Ludus cyber range environments through natural language commands. Provides 157 tools for range lifecycle management, scenario deployment, template creation, Ansible role management, and SIEM integration for security testing and research.
Enables AI agents to directly inspect, configure, test, and orchestrate network devices through pyATS/Genie, including show command parsing, config rollback, feature state learning/diffing, fleet-wide command fan-out, and declarative test execution.
Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.
Enables AI assistants to perform penetration testing and security assessments by exposing 60+ Kali Linux security tools including network scanning, web security testing, password cracking, exploitation frameworks, and OSINT capabilities through an AI-friendly interface.
Enables AI assistants to query Cisco ThousandEyes v7 API for network monitoring data including tests, agents, alerts, dashboards, and test results (network, page-load, web-transactions, path visualization) for faster troubleshooting through natural language.
Exposes Juniper Mist REST API as 22 curated MCP tools, enabling AI agents to query and manage network resources like sites, devices, WLANs, and Marvis AI insights through natural language.
