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An MCP server for multi-architecture disassembly and reverse engineering via Capstone.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-capstone" yet — see the docs or source repo.
Use mcp-capstone to disassemble this machine code for the target architecture, and list each instruction with address and operands.
A disassembly listing sorted by address, making the machine code easier to inspect.
I have binary instruction data from different architectures. Use mcp-capstone to disassemble each one and provide a basic explanation of the results.
Disassembly results for multiple architectures, helping compare and understand instruction differences.
Use mcp-capstone to disassemble this binary content and help me identify the code flow and key instruction locations.
Readable assembly output that supports further reverse engineering and manual analysis.
Developers or researchers can use it to convert machine code into assembly instructions when examining executable code snippets. It fits workflows that require visibility into low-level instruction details.
When a project involves different CPU architectures, this tool provides multi-architecture disassembly to help inspect and analyze instruction representations consistently. It is useful for cross-platform low-level code research.
During security analysis or low-level testing, users can rely on the disassembly output to quickly locate key instructions and code regions. This helps with follow-up manual review and troubleshooting.
It is an MCP server that provides disassembly and reverse engineering capabilities through the Capstone framework, with support for multiple architectures. It can be used to turn machine code into readable assembly instructions.
The available information only states that it supports multiple architectures, without listing them explicitly. For the exact supported set, see the source repository.
The provided material does not include installation steps, runtime requirements, or dependency details. For setup instructions and prerequisites, see the source repository.
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