SOMCP: SOMCP 是一个运行在 Android 手机上的本地 SO 逆向 MCP 服务器。它通过 Streamable HTTP 暴露 MCP 工具

by bilieebiliee1-design · MCP Server · ★ 207

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Security audit verdict: SAFE · quality 55/100

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

Stars207
Forks59
LanguageKotlin
CategoryMCP Server
LicenseAGPL-3.0
Quality Score55/100
Last Updated2026-10-12
Created2026-07-19
Platformsmcp
Est. Tokens~19k

About SOMCP

SOMCP SOMCP 是一个运行在 Android 手机上的本地 SO 逆向 MCP 服务器。它通过 Streamable HTTP 暴露 MCP 工具,让客户端可以在手机上完成 ELF 结构分析、Rizin 反汇编/分析、LIEF ELF 修复/重写、补丁会话、构建导出、Cloudflare Tunnel 暴露和可选 APK MCP 桥接。 当前版本:( 的 , 23)。已发布的正式产物见 GitHub Releases,两者不必同名:源码树里的版本可以领先于最近一次发布。 包名: 最低系统:Android 8.0 / API 26 许可证:。SOMCP 主项目依据 GNU Affero General Public License v3.0 发布。仓库中的第三方依赖、submodule、生成资源和补丁仍分别遵循各自上游许可证,AGPL-3.0 声明不会替代其原有许可条款。...

Compatible Skills

These tools work well together with SOMCP for enhanced workflows:

  • OneBox — semantic(0.18)+complementary+same_lang+similar_pop (51%)
  • andee — semantic(0.17)+complementary+same_lang+similar_pop (51%)
  • AndroidHarness — semantic(0.16)+complementary+same_lang+similar_pop (50%)
  • android-remote-control-mcp — semantic(0.17)+shared_fw(cloudflare)+same_lang+similar_pop+shared_platform (49%)

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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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