IDA-NO-MCP: Say goodbye to the complex, verbose, and laggy interaction mode of IDA Pro MCP

by P4nda0s · MCP Server · ★ 2.1k

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Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars2,057
Forks262
LanguagePython
CategoryMCP Server
Quality Score61/100
Open Issues7
Last Updated2026-07-26
Created2025-12-05
Platformsmcp, python
Est. Tokens~10k

About IDA-NO-MCP

修复了原版卡死的问题，同时针对于macos进行了优化 English | 简体中文 IDA NO MCP 告别 IDA MCP 复杂、冗长、卡顿的交互模式。 AI 逆向，无需额外配置。 Simple · Fast · Intelligent · Low Cost 核心理念 Text、Source Code、Shell 是 LLM 原生语言。 AI 飞速发展，没有固定模式，工具应该保持简单。 把 IDA 反编译结果导出为源码文件，直接丢进任意 AI IDE（Cursor / Claude Code / ...），天然适配索引、并行、切片（反编译超大函数）等优化。 两个版本（各司其职，建议都装） 这是一个双轨项目。两种产物不是新旧替代关系，而是互补——根据使用场景选择： 为什么需要两个？ IDA 插件必须是共享库格式（在 IDA 进程内运行），而绕过大文件分析卡死必须在 IDA...

Compatible Skills

These tools work well together with IDA-NO-MCP for enhanced workflows:

  • IDAssist — semantic(0.49)+complementary+same_lang+similar_pop+shared_platform (67%)
  • Rikugan — semantic(0.45)+complementary+same_lang+similar_pop+shared_platform (66%)
  • IDA-Skill — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)
  • ida-agent-bridge — semantic(0.49)+complementary+same_lang+shared_platform (57%)
  • idapromcp_333 — semantic(0.63)+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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