Authorization-gated MCP server to discover and run 670+ security tools for CTF, pentest, and DFIR.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
βI am a friend of virtue, not of fortune.β
β Gjergj Kastrioti Β· Skanderbeg (1405β1468)
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 670+ 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 β 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.
| 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 | β | Not applicable |
| Open WebUI | MCP-to-OpenAPI bridge | Compatible through MCP host or bridge |
See docs/AI_CLIENTS.md for detailed configuration per client, and docs/ORCHESTRATION.md for coordinating multiple agents across any MCP client.
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.
Reading the diagram: solid arrows are runtime or installation actions; dashed arrows are validation and context relationships. Client configurations enter through the root-aware launcher before reaching FastMCP. security.py governs run_tool and run_pipeline through the allowlist, argument checks, and network policy without invoking a shell. run_script remains a separate, disabled-by-default full-code-execution capability. Agent Skills stay outside the execution path: .claude/skills/ is canonical and scripts/sync-skills.sh produces .agents/skills/ for clients that use the portable mirror.
Kali/Parrot/BlackArch ship the tools; this is complementary, not a replacement. It runs on the box you already have (incl. Termux) and adds an AI control plane that can discover, recommend, chain, and execute installed tools through one governed interface. Want all the tools? A distro is fine. Want an MCP client that can select and run them under explicit policy? That's the gap.
Security users should be paranoid β here's exactly what runs and what's gated:
CYBERSEC_MCP_ALLOW_EXTERNAL=0 rejects network targets that do not resolve to private/loopback ranges, and CYBERSEC_MCP_ALLOW_SCRIPTS=0 disables run_script. You opt into external scopes / scripting explicitly.mcp_server/security.py): registry allowlist, no shell (create_subprocess_exec, never shell=True), argument sanitization, a per-tool blocked-flag denylist (e.g. sqlmap --os-shell, nmap -iL, file-list/target-injection flags), target/network policy, rate limiting, output caps, and timeouts.run_script only disables that endpoint; run the MCP server as a least-privileged user or inside an isolation boundary appropriate for untrusted targets.0600) rotating log under the user's state directory (~/.local/state/cybersec-tools-mcp/audit.log by default). Script bodies are never persisted β only an irreversible SHA256 + length is logged for correlation β and credential-shaped strings are redacted from tool arguments.$SUDO_USER) for cloned-repo builds and pip/cargo/gem installs; binary releases are SHA256-verified when checksums are published.--include-c2 (the redteam/full profiles); the MCP layer reflects this and never auto-runs them.SECURITY.md, the Supply Chain Model, and the Disclaimer.All required runtimes (Python, Go, Ruby, Java, Rust, Node.js), dev libraries, pipx, and build tools are installed automatically. The only prerequisite is a supported Linux distro. Windows and macOS are not supported (use WSL or Docker).
Docker is the one exception β install it manually if you want C2 frameworks, MobSF, BeEF, BloodHound, TheHive, or Cortex (
--enable-docker). See Docker install docs. GitHub authentication is recommended. The installer downloads ~30 binary releases and makes ~30+ API calls to GitHub. Without auth, you're limited to 60 requests/hour and some downloads may fail. With auth, the limit is 5,000/hour. The easiest way:Alternatively, export a personal access token (no scopes needed):
From the latest release (pinned and stable β recommended):
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