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"Debugging software using GDB (GNU Debugger)" matching MCP servers:

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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
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    MIT
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    Unit converter for AI agents, powered by the GNU units database — convert 3000+ units of measurement, evaluate compound unit expressions, reduce to SI base units, dimensional analysis. Offline, deterministic.
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    GPL 3.0
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    Enables AI assistants to control GDB debugger via MCP protocol for local and remote debugging, supporting CTF Pwn, crash analysis, and ELF inspection.
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    MIT
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    Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
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    MCP server that wraps gdb to enable LLMs to drive live debugging sessions, including starting sessions on binaries, attaching to processes, and running commands.
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    MIT
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    MCP server wrapping GDB and GEF for dynamic analysis, enabling interactive debugging and memory inspection via GDB/MI protocol.
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    MIT
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    Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.
    4
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    MIT
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    Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.
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    MIT
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    Enables LLM clients to interact with the GNU Debugger (GDB) for comprehensive debugging and binary analysis. It provides a wide range of tools for program execution control, memory examination, stack analysis, and disassembly.
    13
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    GPL 3.0
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    A Model Context Protocol server for the resQ emergency response system that integrates with digital twin simulations and coordination engines. It allows users to trigger simulations, generate deployment strategies, and monitor real-time drone status for incident response analysis.
    3
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    Apache 2.0
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    A local MCP reasoning gate that enables structured engineering thought through step-by-step reasoning, branching, merging, validation, and quality metrics without calling external LLM APIs.
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    Apache 2.0
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    A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.
    87
    MIT