ИИ-агенты
apify-mcp-server
MCP server that lets AI agents run thousands of Apify Store scrapers and crawlers as tools.
★ 10,1 тыс. звёздMIT
Смотреть руководство →hexstrike-ai — проект с открытым исходным кодом из категории «ИИ-агенты» от 0x4m4 (0x4m4/hexstrike-ai на GitHub). У него 12 532 звезды на GitHub и 2 549 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 3 августа 2026.
MCP server letting AI agents run 150+ cybersecurity tools for authorized pentesting and research.
Only test systems you own or have written authorization for, and plan to run HexStrike in a dedicated security-testing VM, as the README advises.
Clone the repo on a Kali Linux-style machine, create a virtualenv, install the Python requirements, and make sure the security tools you need are installed.
Run hexstrike_server.py (add --debug for detailed logs) and verify it is listening on port 8888.
Point your MCP client at hexstrike_mcp.py, then describe an authorized assessment - for example network scanning or web application testing on your own site - and monitor activity in the dashboard.
One MCP interface fronts a comprehensive arsenal for network scanning, web testing, vulnerability assessment and more, across 35+ attack categories.
Specialized agents make decisions and manage workflows, chaining tools together for complete assessments.
Nuclei integration with 4000+ templates gives broad, current vulnerability coverage.
A live process dashboard (via the server's API) lets you watch, inspect and terminate agent-run processes.
The server tracks running processes and includes debug modes and troubleshooting tooling for MCP connections and missing binaries.
Designed around the standard penetration-testing toolset, with checks such as which nmap/gobuster/nuclei to verify tool availability.
Clone HexStrike AI and enter the project directory.
git clone https://github.com/0x4m4/hexstrike-ai.git
cd hexstrike-aiCreate a virtual environment and install the Python requirements; install the underlying security tools (nmap, nuclei, etc.) from their official sources.
python3 -m venv hexstrike-dev
source hexstrike-dev/bin/activate
pip install -r requirements.txtLaunch the HexStrike server, then configure your MCP client to run hexstrike_mcp.py so your agent can call the tools.
python3 hexstrike_server.py --port 8888 --debugIt was created by 0x4m4 and is owned and developed by OTT Cybersecurity LLC, with community contributions.
Yes, it is MIT-licensed. Legal and ethical use is limited to authorized testing, bug bounties within scope, CTFs and research on systems you own - the README is explicit about this.
The server itself does not; the AI agent you connect (Claude, GPT, Copilot, etc.) uses your own subscription or API key.
PentestGPT is an agent framework that drives general coding-agent backends through a staged pipeline; HexStrike is an MCP tool server that exposes 150+ installed security tools to whichever MCP-capable agent you already use.
On a Kali-style VM, clone the repo, pip install -r requirements.txt, run python3 hexstrike_server.py, and connect your MCP client via hexstrike_mcp.py.
MCP server that lets AI agents run thousands of Apify Store scrapers and crawlers as tools.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.