iida-mcp: Faster, with excellent architecture, stronger performance, and kernel access support — an ida-mcp tool

by saileaxh · MCP Server · ★ 286

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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

Stars286
Forks37
LanguagePython
CategoryMCP Server
Quality Score62/100
Open Issues5
Last Updated2026-05-15
Created2026-05-09
Platformsmcp, python
Est. Tokens~12k

About iida-mcp

iida-mcp 中文 | English 是一个 IDA Pro 插件，通过本地 HTTP MCP 服务暴露当前 IDB 的静态分析能力。 该 MCP 主要面向 x86/x86-64 架构可执行文件及对应 IDA 能力设计；如果有其他需求，请提出 issue。 77 个 MCP 工具 主要兼容 IDA 8+，包括 IDA 9.x 支持多 IDA 实例自动路由 可选 Windows 内核驱动能力 快捷键： 功能 文件信息、原始字节、PE/ELF 解析 函数、反汇编、控制流图、交叉引用、调用树 Hex-Rays 反编译、函数参数、局部变量 结构体、枚举、本地类型、类型化读取 名称、字符串、字节模式、立即数搜索 重命名、注释、类型、补丁、书签、批量操作 可选内核内存读取、内核模块枚举、IDA 地址到运行时地址映射 安装 把 和 复制到 IDA 的 目录： 使用 在 IDA 中打开目标文件。...

Compatible Skills

These tools work well together with iida-mcp for enhanced workflows:

  • IDAssist — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (61%)
  • ida-agent-bridge — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • claude-marketplace — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • AETHER — semantic(0.21)+complementary+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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