radare2-mcp
This is an MCP server for integrating radare2 with AI assistants. It utilizes a direct stdin/stdout communication model, enabling seamless binary analysis and file exploration. The direct integration with AI assistants allows users to work more efficiently.
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AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into AI‑friendly context, integrates via CLI or MCP, supports 12+ languages, and AI prompt workflows for cleaner, cost‑effective AI development.
This project was completed during my Operating Systems course. The concept of the project is take an input file that lists various commands that should be performed by the CLI and would execute if they are valid commands with valid arguments. The project adds a multi process feature by having multiple processes working on the input file and thus increasing the efficiency of the application. All the code was written using C.