Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
LLDB-MCP integrates the LLDB debugger with MCP so an assistant can conduct a debugging session directly. It manages multiple concurrent LLDB sessions, loading an executable for debugging, attaching to an already-running process, or loading a core dump for post-mortem analysis. Execution control is fine-grained — running, continuing, stepping in, over and out — combined with breakpoints and watchpoints, the latter firing when a memory location changes rather than when a line is reached. Inspection tools read memory, registers and variables, disassemble code, and examine threads and stack frames, and an escape hatch lets the model execute an arbitrary LLDB command for anything the structured tools do not cover. Taken together these are the same primitives a human uses at an lldb prompt, which means the model can run a real investigative loop: set a breakpoint, run until it hits, read the state, form a hypothesis, step further. The README links a demonstration of the tool automatically diagnosing a buffer overflow, which is the characteristic case — a crash where the cause is visible in memory and stack state rather than in the source alone. It is a small Python project installed from a git clone with the mcp package. The audience is systems and native-code developers on macOS and Linux debugging C, C++, Rust or Objective-C.
https://github.com/stass/lldb-mcp
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
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