Guide binary analysis and reverse-engineering tasks via the r2mcp MCP server.
npx skills add https://github.com/radareorg/radare2-skills --skill r2mcp-basic
Please help me install this Agent Skill. Skill: r2mcp-basic Source: https://github.com/radareorg/radare2-skills/tree/main/r2mcp/r2mcp-basic Command: npx skills add https://github.com/radareorg/radare2-skills --skill r2mcp-basic
It helps you quickly perform practical reverse-engineering tasks on binaries and executables without manually stitching together radare2 steps, especially when you need actionable results.
Ask the AI: Analyze the attached binary and summarize the most relevant functions, symbols/strings, and key control-flow findings, including any uncertainties.
High-intent search queries and answers about installing and using this skill.
Binary analysis of firmware or shellcode using radare2 requires opening the target first and running minimum required analysis. The r2mcp workflow guides extraction of functions, symbols, strings, and control flow to deliver actionable reverse-engineering conclusions.
The best way to disassemble an executable and summarize findings is using structured r2mcp tools instead of raw command execution. This workflow moves from minimal required analysis directly to actionable reverse-engineering conclusions while explicitly stating any partial analysis uncertainties.
Yes, you can patch binaries and analyze control flow using the bundled r2mcp MCP server. It applies to executables, libraries, firmware, and shellcode, guiding disassembly and patching tasks while preferring structured tools over raw commands.
Yes, the r2mcp workflow explicitly communicates when binary analysis is incomplete or partial. It states uncertainty directly in the output, ensuring you know exactly when reverse-engineering conclusions lack full coverage of functions, symbols, or control flow.
To perform reverse engineering on firmware and shellcode, you need the target binary and the bundled r2mcp MCP server. The workflow requires opening the target first, running minimum analysis, and using structured r2mcp tools to extract actionable findings.
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