idapromcp_333: 本项目基于 mrexodia/ida-pro-mcp 二次开发,轻量化了一些功能,在大项目逆向中占用更小,消耗更少token

by namename333 · MCP Server · ★ 282

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Security audit verdict: SAFE · quality 62/100

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

Stars282
Forks55
LanguagePython
CategoryMCP Server
Quality Score62/100
Open Issues7
Last Updated2026-04-06
Created2025-07-24
Platformsmcp, python
Est. Tokens~15k

About idapromcp_333

IDA Pro MCP 插件(轻量化)v1.6.0 项目简介 是一个面向 IDA Pro 的 MCP 服务端/插件项目,用于把 IDA 分析能力暴露给 MCP 客户端(如 Cline、Roo Code、Claude Desktop 等)。 本项目基于 mrexodia/ida-pro-mcp 进行二次开发与功能扩展,聚焦于去除冗余 MCP 能力,减少上下文占用,节省 Token 开销。 在使用过程中,其实ai才是主力了,但是似乎我觉得原项目太多工具,反而拖垮。所以让克劳德先生跑了一个轻量化的(之前想做大做强,但是根本比不上人家),方便ai去读,减少上下文吧。其实我也是自己搞着玩玩,本来想着烂尾了算了,没想到师傅们这么热情,就趁着空改一改。但是还是十分推荐大家去看原项目,可能你的ai推荐到我这里了,大家多多仔细斟酌。 当前仓库包含两条运行路径: 主要能力 暴露 IDA 反汇编 /...

Compatible Skills

These tools work well together with idapromcp_333 for enhanced workflows:

  • ida-agent-bridge — semantic(0.66)+complementary+same_lang+similar_pop+shared_platform (73%)
  • IDAssist — semantic(0.66)+complementary+same_lang+similar_pop+shared_platform (73%)
  • Rikugan — semantic(0.60)+complementary+same_lang+similar_pop+shared_platform (71%)
  • idac — semantic(0.59)+complementary+same_lang+similar_pop+shared_platform (70%)

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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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