Install
openclaw skills install @netkr/mini-hidsReal-time Linux log monitoring and AI-assisted detection of brute force attacks, web attacks, and webshells with automated IP blocking and whitelist support.
openclaw skills install @netkr/mini-hidsThe simplest way to use Mini-HIDS is to give this GitHub repository link to your agent tool:
https://github.com/netkr/mini-hids
Then tell the agent:
Wrap this project as a skill for me.
The agent can clone the repository, read the included project map, package the MCP server and runtime files, and expose Mini-HIDS as an agent-callable local security skill.
Stop brute-force IPs and suspicious web payloads on a small Linux server in minutes, without deploying a full SIEM or heavyweight EDR stack.
Mini-HIDS is a lightweight Linux host intrusion detection tool built with the Python standard library. It focuses on three things that are easy to operationalize on small servers:
Mini-HIDS is designed as an agent-native security tool. It exposes a local MCP server so AI agents can inspect status, read alerts, query the blacklist, and trigger ban or unban actions through a standard tool interface.
Most open-source security tools are optimized for human operators first. Mini-HIDS is intentionally small enough to understand quickly, script easily, and embed into agent workflows without a large control plane.
This repository is a good fit if you want:
This repository is not a good fit if you need:
mini_hids.py: long-running daemon that tails logs, tracks attack windows, bans IPs, and rescans web rootshids_core.py: control-plane API for MCP and agent integrationhids_common.py: shared config loading, SQLite helpers, IP validation, and firewall backendsmcp_server.py: stdio MCP adapter that exposes Mini-HIDS actions as agent-callable toolsconfig.json: runtime configuration loaded by both the daemon and the MCP serverllms.txt: LLM-oriented project map for AI search and coding assistantsAfter your agent has packaged the project as a skill, adjust config.json for the target server and start the daemon:
sudo python3 mini_hids.py
Mini-HIDS ships with a local MCP server. Tools like Cursor, Claude Desktop, and other MCP-compatible clients can call the project directly.
Run the MCP server:
python3 mcp_server.py
Example client config:
{
"mcpServers": {
"mini-hids": {
"command": "python3",
"args": ["/absolute/path/to/mini-hids/mcp_server.py"]
}
}
}
A ready-to-copy sample is also included at examples/claude_desktop_mcp.json.
Available MCP tools:
mini_hids_statusmini_hids_get_alertsmini_hids_get_blacklistmini_hids_ban_ipmini_hids_unban_ipmini_hids_scan_webshellThis is the practical deployment model. Mini-HIDS needs local log access and firewall privileges, so local or server-side MCP integration is the correct approach.
All MCP tools return structured JSON. Example:
{
"success": true,
"data": {
"is_running": true,
"pid": 12345,
"firewall_backend": "iptables"
}
}
iptablesnftfail2ban-clientEdit config.json instead of modifying the Python files.
{
"LOG_PATHS": {
"auth": ["/var/log/auth.log", "/var/log/secure"],
"web": ["/var/log/nginx/access.log", "/var/log/apache2/access.log"],
"mysql": ["/var/log/mysql/mysql.log", "/var/log/mysql/error.log"]
},
"BAN_TIME": 3600,
"TRUSTED_IPS": ["127.0.0.1", "192.168.1.1"],
"WEB_ROOT": ["/var/www/html", "/var/www"],
"BLACKLIST_DB": "blacklist.db",
"ALERT_LOG": "hids_alert.log",
"PID_FILE": "mini_hids.pid",
"FIREWALL_BACKEND": "",
"MAX_FAILURES": 5,
"WINDOW_SECONDS": 300,
"CHECK_INTERVAL": 1,
"WEBSHELL_SCAN_INTERVAL": 3600
}
Notes:
BLACKLIST_DB, ALERT_LOG, and PID_FILE can be absolute paths. If they are relative, they are created in the project directory.FIREWALL_BACKEND can be empty for auto-detection, or set to iptables, nftables/nft, or fail2ban.CHECK_INTERVAL controls how often the daemon checks for expired bans.WEBSHELL_SCAN_INTERVAL controls how often the daemon rescans web roots.TRUSTED_IPS are never banned by the daemon or MCP tools.TRUSTED_IPS carefully to avoid locking yourself out.nftables support uses a dedicated mini_hids table and timeout-enabled sets, so existing firewall policies should still be reviewed before production use.hids_core.py) for MCP and agent integrationhids_cli.py and its argparse-based command-line interfacehids_common.py, eliminating code duplicationvalidate_ban_request(), execute_ban(), execute_unban() shared functionsparse_alert_line() for agent-friendly outputmini_hids_scan_webshell MCP tool for on-demand webshell scanningWEBSHELL_PATTERNS to shared module, removing duplicate definitionstest_hids.py) covering core functionalitymini-hids.service) for production deploymentFIREWALL_BACKEND selection with auto-detection fallback