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Reversecore MCP Server

@sjkim1127

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

sjkim1127

投稿者

Kimsungjoo

Reversecore MCP Server について

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

Reversecore MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

Reversecore MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

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.

3

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.

4

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.

5

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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