ARL-Next

by owl234 · MCP Server · ★ 473

About ARL-Next

# ARL-Next AI 原生自动化资产侦察与漏洞监控平台 Next-Generation AI-Native Asset Reconnaissance & Vulnerability Monitoring Platform 💡 什么是 ARL-Next? ARL-Next 是 ARL (资产侦察灯塔) 的现代化重构版本。现已进化为 AI 原生、高性能、全维度闭环的安全监控平台。 ✨ 核心特性 🤖 AI 原生:内置 MCP 接口,允许 AI Agent 直接对话接管系统。(👉 MCP 配置指南) 🚀 极速架构:升级 Chromium 与 Nuclei。耗时任务全面剥离为微服务,根除高并

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Quick Facts

Stars473
Forks79
LanguagePython
CategoryMCP Server
LicenseGPL-3.0
Quality Score32.75/100
Open Issues4
Last Updated2026-10-23
Created2026-04-30
Platformsdocker, mcp, python
Est. Tokens~5138k

Compatible Skills

These tools work well together with ARL-Next for enhanced workflows:

  • cti-expert — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • AutoCVE — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • ai_for_the_win — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • python-samples-fastapi-restful — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • groundedllm — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is ARL-Next?

ARL-Next is Modern attack-surface reconnaissance & asset monitoring platform — rebuilt from classic ARL with async decoupled scheduling, enterprise asset correlation and native MCP support. Docker-ready.. It is categorized as a MCP Server with 473 GitHub stars.

What programming language is ARL-Next written in?

ARL-Next is primarily written in Python. It covers topics such as arl, asm, attack-surface-management.

How do I install or use ARL-Next?

You can find installation instructions and usage details in the ARL-Next GitHub repository at github.com/owl234/ARL-Next. The project has 473 stars and 79 forks, indicating an active community.

What license does ARL-Next use?

ARL-Next is released under the GPL-3.0 license, making it free to use and modify according to the license terms.

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