Reversecore_mcp

Name: Reversecore_mcp
Author: sjkim1127

@sjkim1127

关于 Reversecore_mcp

A security-first MCP server that empowers AI agents to perform automated reverse engineering, malware analysis, forensics, vulnerability research, and SAST — powered by Radare2, YARA, LIEF, Capstone, and more.

#reversecore-mcp #malware-analysis #reverse-engineering

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

sjkim1127

提交者

Kimsungjoo

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "reversecore": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "C:/Reversecore_Workspace:/app/workspace",
        "-e",
        "REVERSECORE_WORKSPACE=/app/workspace",
        "-e",
        "MCP_TRANSPORT=stdio",
        "reversecore-mcp"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Reversecore_MCP?

Reversecore_MCP is an enterprise-grade Model Context Protocol server that transforms AI assistants like Claude and Cursor into expert-level security research workstations. It integrates 50+ analysis tools across static analysis, dynamic triage, malware analysis, vulnerability research, SAST, digital forensics, and reporting.

How to use Reversecore_MCP?

Run the Docker container (recommended) or build from source, then connect any MCP-compatible AI client via stdio or HTTP/SSE transport. Configure workspace and environment variables as needed.

Key features of Reversecore_MCP

50+ tools for static, dynamic, malware, and forensic analysis
Natural language interface – describe tasks, server invokes tools
Guided analysis prompts with expert personas and Chain-of-Thought
MITRE ATT&CK technique mapping with evidence classification
Persistent AI memory store via async SQLite
Built-in security model with input sanitization and path validation

Use cases of Reversecore_MCP

Malware triage and IOC extraction with automated reporting
Vulnerability research using symbolic execution and binary diffing
Digital forensics on memory dumps, disk images, and network captures
Firmware analysis for IoT/embedded devices
Source code auditing for Python, C, and C++ projects

FAQ from Reversecore_MCP

What are the runtime requirements?

Python 3.10–3.12, or Docker. Underlying tools include Radare2, r2ghidra, YARA, LIEF, Capstone, Volatility3, and others – all bundled in the Docker image.

How does it connect to AI clients?

Via the Model Context Protocol over stdio or HTTP/SSE. Any MCP-compatible client (e.g., Claude, Cursor) can use it.

What analysis tools are included?

Over 50 tools across seven categories: static analysis, disassembly/decompilation, cross-referencing, dynamic/symbolic analysis, malware detection, session reporting, and digital forensics.

Is there a security model?

Yes – the server includes input sanitization, path validation, a Radare2 connection pool, and a resilience layer with retry/circuit-breaker patterns.

Can I generate reports with MITRE ATT&CK mapping?

Yes – use create_analysis_report with modes like full, triage, ioc_summary, or executive, and map techniques via add_session_mitre.

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