cybersec-toolkit

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      |_|                     Toolkit

“I am a friend of virtue, not of fortune.”
— Gjergj Kastrioti · Skanderbeg (1405–1468)

Cybersecurity toolkit with built-in AI integration. An embedded MCP (Model Context Protocol) server lets MCP-capable clients query the tool registry, check install status, recommend tools for a CTF category or bug-bounty target, and run installed tools through a governed execution path. Jump to MCP Server (AI Integration).

Bundled with a modular installer for Linux and Termux (Android) covering 580+ tools, 18 modules, 14 profiles, and 12 install methods.

What makes it different: most toolkits stop at installing tools. Here an AI can also drive them — infer the problem type, pick the right tools from all modules/profiles, and work with you as an interactive companion. When you explicitly authorize it, the same MCP toolchain can enter an autonomous solver loop. Companion by default; autonomous only when you ask.

Works with

Client	Integration	Label
Claude Code	.mcp.json (tracked) + .claude/skills/	Native configuration included
Claude Desktop	claude_desktop_config.json	Configuration example documented
OpenCode	opencode.jsonc (tracked) + .agents/skills/	Live tested
Codex	.codex/config.toml (tracked)	Native configuration included
Gemini CLI	GEMINI.md + .gemini/settings.json (tracked)	Native configuration included
GitHub Copilot	.mcp.json (CLI) + .github/copilot-instructions.md	CLI live tested; VS Code documented
Hermes Agent	User ~/.hermes/config.yaml	Live tested
OpenClaw	User ~/.openclaw/openclaw.json + .agents/skills/	Live tested
Cursor / Cline / Goose	Client MCP settings + Agent Skills	Compatible through MCP; skills supported
Continue	Client MCP settings; rules/prompts for context	Compatible through MCP
LM Studio (>=0.3.17)	mcp.json; manual or MCP-provided context	Compatible through MCP
Ollama	MCP host in front of it	Compatible through an MCP host
Aider	—	Not applicable
Open WebUI	MCP-to-OpenAPI bridge	Compatible through MCP host or bridge

See docs/AI_CLIENTS.md for detailed configuration per client.

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How it works

Two entry points share one tool registry. An operator runs the bash installer to put tools on disk; an AI agent talks to the MCP server to discover, recommend, and execute those same tools through its governed tool path. tools_config.json is the single source of truth the modules define and the MCP advisors read, and CI validators keep the Python and bash sides in sync.

Mermaid source: assets/how-it-works.mmd.