IoC Research

关于

This FastMCP Python-based server empowers agentic AI models like Copilot, Gemini, and Claude to conduct comprehensive OSINT research on Indicators of Compromise (IoCs). It programmatically gathers intelligence on domains, IPs, hashes, and URLs by integrating with multiple OSINT sources, including VirusTotal, Shodan, ThreatFox, and MalwareBazaar. Designed to enhance security analyses, it allows AI applications to leverage external threat intelligence securely, using environment variables for API keys and providing structured output for further analysis.

主要功能

• 0 GitHub stars
• Supports various IoC types: domains, IPs, hashes, URLs
• Securely manages API keys via environment variables
• Assists agentic AI models (Copilot, Gemini, Claude) with IoC research
• Provides structured output for follow-on analysis
• Integrates multiple OSINT sources (VirusTotal, Shodan, ThreatFox, MalwareBazaar)

使用案例

• Automating OSINT lookups for security investigations by AI agents
• Programmatic gathering of threat intelligence for Incident Response
• Enhancing LLM capabilities with real-time IoC reputation checks