Cybersecurity AI Agent Skills

A Model Context Protocol (MCP) server that provides network asset information based on query conditions. This server allows Large Language Models (LLMs) to obtain network asset information by querying ZoomEye using dorks and other search parameters. 🎉 We are excited to announce the official open-source release of ZoomEye MCP Server — a powerful Model Context Protocol (MCP) server that brings real

Panther's Model Context Protocol (MCP) server provides functionality to: 1. Write and tune detections from your IDE 2. Interactively query security logs using natural language 3. Triage, comment, and resolve one or many alerts Scheduled Queries Global Helpers Data Models Users & Access Management Follow these steps to configure your API credentials and environment. 1. Create an API token in Panthe

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and uses AI to mimic the behavior of a high-interaction honeypot. - Global Threat Intelligence Community - Key Features - Architecture - Quick Start - Configuration - Core Configuration - Service Configuration -

Real-time global intelligence across 30+ domains with 109 MCP tools, a live ops-center dashboard, a CLI, and a Qdrant vector store for enterprise-grade semantic search across accumulated intelligence. All data comes from free, public APIs — no paid subscriptions required. Built for AI agents that need world awareness: market conditions, geopolitical risk, military posture, supply chain disruptions