awesome_kali_MCPServers

Created By
VERMAXVRa year ago
awsome kali MCPServers is a set of MCP servers tailored for Kali Linux, designed to empower AI Agents in reverse engineering and security testing. It offers flexible network analysis, target sniffing, traffic analysis, binary understanding, and automation, enhancing AI-driven workflows.
Overview

What is awsome_kali_MCPServers?

awsome_kali_MCPServers is a collection of MCP servers specifically designed for Kali Linux, aimed at empowering AI Agents in reverse engineering and security testing.

How to use awsome_kali_MCPServers?

To use awsome_kali_MCPServers, visit the Releases page to download the necessary files. Follow the execution instructions to set up the servers on your Kali Linux machine.

Key features of awsome_kali_MCPServers?

  • Network Analysis: Insights into network activity and vulnerabilities.
  • Target Sniffing: Capture data packets for threat analysis.
  • Traffic Analysis: Monitor network traffic for suspicious activity.
  • Binary Understanding: Decode binary data for security insights.
  • Automation: Streamline tasks to enhance productivity.

Use cases of awsome_kali_MCPServers?

  1. Conducting security assessments on networks.
  2. Analyzing traffic for potential threats.
  3. Automating repetitive security testing tasks.

FAQ from awsome_kali_MCPServers?

  • Can I use awsome_kali_MCPServers for any type of network?

Yes! It is designed for various network environments.

  • Is there a cost associated with using awsome_kali_MCPServers?

No, it is free to use under the Apache-2.0 license.

  • What skills do I need to effectively use this tool?

Basic knowledge of Kali Linux and cybersecurity principles is recommended.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
VERMAXVR
Star
14
Language
Python
License
Apache-2.0 license

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

2 days ago