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cyberkaida/reverse-engineering-assistant

Reverse-engineering help inside Ghidra

装之前:有可直接复制的命令 · 许可证未标注 · 链接可访问

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
  1. 复制上面的命令
  2. 粘成 claude_desktop_config.json 里 mcpServers 的一项(本地服务器用 command + args,示例见 客户端接法)
  3. 重启客户端
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "cyberkaida-reverse-engineering-assistant": {
      "command": "uv",
      "args": ["tool", "install", "reverse-engineering-assistant"]
    }
  }
}

解析自我们于 2026-11-07 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "cyberkaida-reverse-engineering-assistant": {
      "command": "uv",
      "args": ["tool", "install", "reverse-engineering-assistant"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio cyberkaida-reverse-engineering-assistant -- uv tool install reverse-engineering-assistant
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
安装
uv tool install reverse-engineering-assistant
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 uv tool install reverse-engineering-assistant。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# ReVa - Ghidra MCP Server for AI-Powered Reverse Engineering

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> A Ghidra extension that provides a Model Context Protocol (MCP) server for AI-assisted reverse engineering
ReVa (Reverse Engineering Assistant) is a Ghidra MCP server that enables AI language models to interact with Ghidra's powerful reverse engineering capabilities. ReVa uses
state of the art techniques to limit context rot and enable
long form reverse engineering tasks.
ReVa is different from other efforts at building AI assistants for RE tasks because it uses a _tool driven approach_ with a focus
on designing tools for effective LLM use.
ReVa aims to provide a variety of small tools to the LLM, just as your RE environment provides a set of small tools
to you.
Each of the tools given to the LLM are constructed to be easy for the LLM to use and to tolerate a variety of inputs
and to reduce hallucination by the LLM. We do this by providing the LLM with a schema but tolerating other input,
including descriptions that guide the LLM,and redirecting correctable mistakes back to the LLM, and including extra
output to guide the next decision by the LLM.
ReVa's tools differ to other solutions, they provide smaller,
critical fragments with reinforcement and links to other
relevant information to reduce context usage and hallucination.
This greatly improves performance, especially on long form
reverse engineering tasks. This allows ReVa to handle large
binaries and even entire firmware images.
To encourage exploration as a human would, we report additional context like the namespace and cross references along with the decompilation, this
is a small nudge to make the LLM explore the binary in the same way a human would.
Using this technique you can ask general questions and get relevant answers. The model prioritises
information from the tools, but when there is no information it can still respond to generic
questions from its training.
As an MCP server, ReVa can be used alongside other MCP servers to enrich its analysis.
For example you can use the GitHub MCP Server
to allow ReVa access to source code on GitHub, or the
Kagi MCP Server to allow ReVa to search the web.
You can ask questions like:
Examine the programs in this project and explain the relationship between the main binary and the shared libraries.
What are the interesting strings in this program?
Does this program use encryption? Write a markdown report on the encryption and where it is used.
Draw a class diagram using plantuml syntax.
Start from main, examine the program in detail. Rename variables as you go and provide a summary of the program.
Explain the purpose of the __mod_init segment.
What does mmap return?
What does the function at address 0x80000 do?
This is a CTF problem. Write a pwntools script to get the flag.
Import these two binaries and diff them, explain the changes.
# Installation
> NOTE: ReVa supports Ghidra 12.0 and above. Ghidra 12.2+ requires Java 25; earlier
> versions require Java 21. Download the release built for your exact Ghidra version.
ReVa is a Ghidra extension. To install it, you can download the release for your
version of Ghidra from the releases page and install it using the Ghidra extension manager.
Alternatively, you can build it from source. To do this, clone the repository and run the following command:
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/zh/s/cyberkaida-reverse-engineering-assistant/)
来源
awesome · https://github.com/cyberkaida/reverse-engineering-assistant
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