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.
Reversecore MCP Server
@sjkim1127
基本信息
关于 Reversecore MCP Server
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 Server 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"
]
}
}
}Reversecore MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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
常见问题
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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