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by Wh0am123 · MCP Server · ★ 825
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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MCP Kali Server MCP Kali Server (MKS) is a lightweight API bridge that connects MCP clients (e.g: Claude Desktop or 5ire) to the API server which allows executing commands on a Linux terminal. This MCP is able to run terminal commands as well as interacting with web applications using: As well as being able to execute raw commands. As a result, this is able to perform AI-assisted penetration testing and solving CTF challenges in real time. Articles Using This Tool 👉 How MCP is Revolutionizing Offensive Security 🔍 Use Case The goal is to enable AI-driven offensive security testing by: Letting the MCP interact with AI endpoints like OpenAI, Claude, DeepSeek, Ollama or any other models. Exposing an API to execute commands on
| Stars | 825 |
| Forks | 166 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.1884232865037/100 |
| Open Issues | 9 |
| Last Updated | 2026-03-17 |
| Created | 2025-04-07 |
| Platforms | mcp, python |
| Est. Tokens | ~443k |
These tools work well together with MCP-Kali-Server for enhanced workflows:
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MCP-Kali-Server is MCP configuration to connect AI agent to a Linux machine.. It is categorized as a MCP Server with 825 GitHub stars.
MCP-Kali-Server is primarily written in Python. It covers topics such as kali-tools, mcp, mcp-server.
You can find installation instructions and usage details in the MCP-Kali-Server GitHub repository at github.com/Wh0am123/MCP-Kali-Server. The project has 825 stars and 166 forks, indicating an active community.
MCP-Kali-Server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-Kali-Server on Agent Skills Hub include CyberStrike, mcp-security-hub, awesome-mcp-security. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: