A Model Context Protocol server that connects AI assistants to OpenCTI threat intelligence platforms. It enables natural language interaction for searching threat intelligence, analyzing reports, managing indicators, and monitoring connectors.
MCP server that exposes 108+ omega-cli OSINT tools for reconnaissance, web analysis, threat intelligence, and reporting, enabling AI assistants to perform comprehensive open-source intelligence tasks.
A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.
A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.
MCP server that provides condensed and normalized data from OpenCTI to LLMs, enabling lookup of observables, adversaries, and reports with enriched context.
Local, no-API-key MCP server with seven defensive SecOps tools for AI agents: extract IOCs (IPs, URLs, domains, hashes, CVE IDs) from text with defang/refang, hash strings, estimate password entropy, and run CIDR/subnet checks. Built on FastMCP with no outbound network calls.
