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  3. Cybersec Toolkit
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Cybersec Toolkit

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Authorization-gated MCP server to discover and run 670+ security tools for CTF, pentest, and DFIR.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cybersec-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "cybersec-toolkit"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”’ More in Security

Documentation Overview

CI Integration Security uv update License: MIT Docker image Status: Under Active Development

text
    /\   /\        ______      __              _____
   (o ) ( o)      / ____/_  __/ /_  ___  _____/ ___/___  _____
    \ \_/ /      / /   / / / / __ \/ _ \/ ___/\__ \/ _ \/ ___/
  <==\   /==>   / /___/ /_/ / /_/ /  __/ /   ___/ /  __/ /__
     \ V /      \____/\__, /_.___/\___/_/   /____/\___/\___/
     /_ _\           /____/                          by 26zl
      |_|                     Toolkit

β€œI am a friend of virtue, not of fortune.”
β€” Gjergj Kastrioti Β· 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 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.

Works with

ClientIntegrationLabel
Claude Code.mcp.json (tracked) + .claude/skills/Native configuration included
Claude Desktopclaude_desktop_config.jsonConfiguration example documented
OpenCodeopencode.jsonc (tracked) + .agents/skills/Live tested
Codex.codex/config.toml (tracked)Native configuration included
Gemini CLIGEMINI.md + .gemini/settings.json (tracked)Native configuration included
GitHub Copilot.mcp.json (CLI) + .github/copilot-instructions.mdCLI live tested; VS Code documented
Hermes AgentUser ~/.hermes/config.yamlLive tested
OpenClawUser ~/.openclaw/openclaw.json + .agents/skills/Live tested
Cursor / Cline / GooseClient MCP settings + Agent SkillsCompatible through MCP; skills supported
ContinueClient MCP settings; rules/prompts for contextCompatible through MCP
LM Studio (>=0.3.17)mcp.json; manual or MCP-provided contextCompatible through MCP
OllamaMCP host in front of itCompatible through an MCP host
Aiderβ€”Not applicable
Open WebUIMCP-to-OpenAPI bridgeCompatible 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.


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.

How it works: an operator runs the bash installer to put tools on disk; an AI agent drives the MCP server to discover, recommend, and execute them. The installer and MCP server meet at the tools_config.json registry and the installed tools on disk, with security.py governing tool execution and CI validators keeping 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.


Why not just Kali (or another installer)?

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.

Trust & safety

Security users should be paranoid β€” here's exactly what runs and what's gated:

  • Default-safe MCP. Out of the box 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.
  • Governed tool execution passes one gate (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.
  • The execution policy is not an OS sandbox. Allowed tools run with the MCP process user's permissions, and some security tools can launch child processes or load plugins. Disabling run_script only disables that endpoint; run the MCP server as a least-privileged user or inside an isolation boundary appropriate for untrusted targets.
  • Tool-aware policy is not solver hardcoding. The solver chooses tools from the registry/advisors; the policy layer only understands enough CLI grammar to tell a real target from a header, wordlist, output path, config file, or target-list flag. That keeps normal commands usable without letting file-list/config flags bypass scope checks.
  • Audit trail, not leaks. Actions are logged as JSON to an owner-only (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.
  • Least privilege in the installer. It runs as root but drops to the invoking user ($SUDO_USER) for cloned-repo builds and pip/cargo/gem installs; binary releases are SHA256-verified when checksums are published.
  • Dual-use tooling is gated. C2 and phishing frameworks (Sliver, Caldera, gophish, evilginx, …) are off by default and install only with --include-c2 (the redteam/full profiles); the MCP layer reflects this and never auto-runs them.
  • Authorized use only. See SECURITY.md, the Supply Chain Model, and the Disclaimer.

Install

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:

bash
# Install gh CLI and log in (one-time) β€” the installer auto-detects it
sudo apt install gh && gh auth login

Alternatively, export a personal access token (no scopes needed):

server.ts
export GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxx

From the latest release (pinned and stable β€” recommended):

bash
# Newest tag is on the Releases page: https://github.com/26zl/cybersec-toolkit/releases
git clone --depth 1 --branch v1.1.0 https://github.com/26zl/cybersec-toolkit.git && cd cybersec-toolkit && sudo ./install.sh

Read the full README on GitHub β†’

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Frequently Asked Questions about Cybersec Toolkit

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "cybersec-toolkit": { "command": "npx", "args": ["-y", "cybersec-toolkit"] } }

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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