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

An MCP server that provides programmatic access to the GNU Debugger (GDB), enabling AI models to interact with GDB through natural language for debugging tasks.

Enables AI agents to debug C/C++ programs with GDB or LLDB, supporting breakpoints, stepping, variable inspection, and function calls.

Provides GDB debugging functionality for use with Claude or other AI assistants, allowing users to manage debugging sessions, set breakpoints, examine variables, and execute GDB commands through natural language.

Enables AI agents to debug embedded systems by providing a comprehensive interface for GDB operations across multiple architectures like ARM and x86. It supports remote debugging via gdbserver or QEMU, allowing for detailed inspection of memory, registers, stack frames, and variables.

Enables debugging of Python, JavaScript/TypeScript, Go, and Rust code using real debuggers with breakpoints, stepping, variable inspection, and stack trace navigation through the Debug Adapter Protocol.

MCP server for debugging Node.js programs through the V8 Inspector Protocol, allowing AI agents to set breakpoints, inspect variables, and step through code.

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.

An MCP server that lets AI agents debug Python code by running scripts, setting breakpoints, stepping through execution, inspecting live variable values, and editing or reverting files to verify fixes. It relies only on Python's standard sys.settrace, requiring no debugpy, DAP, pdb, or PTY.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

Enables AI agents to safely inspect, edit, and test code within a bounded repository environment to solve software engineering tasks and verify fixes.

A VSCode extension that enables AI agents to programmatically control VSCode's debugging features through the Model Context Protocol (MCP).

Provides Node.js debugging capabilities with process management for AI agents, allowing them to start/stop Node.js processes, set breakpoints, step through code, and evaluate expressions.

Allows Claude to directly debug a NodeJS server by setting breakpoints, inspecting variables and stepping through code.

A bridge that enables AI assistants to connect to VS Code's debugger, allowing them to interact with and control debugging sessions through websocket connections.

MCP server that lets AI coding tools control and observe a running Node.js process through the chrome devtools protocol (CDP), via a lightweight Debug Adapter Protocol (DAP) bridge.

A GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities.

Enables step-through debugging for C#, Node.js/TypeScript, Python, and Dart applications on Windows through a unified MCP interface. Acts as a bridge between MCP clients and various debug adapters, providing consistent debugging workflows with breakpoints, variable inspection, and process attachment capabilities.

Enables coding agents to debug Node.js programs via MCP tools, using Chrome DevTools Protocol for launching, attaching, breakpoints, stepping, variables, and console access.

Enables AI assistants to debug .NET programs by launching or attaching to processes, setting breakpoints, stepping through code, inspecting variables, evaluating C# expressions, and handling exceptions, with support for multiple processes and .NET MAUI apps.

Enables reproducible evaluation of AI coding agents by exposing repository inspection, code editing, test running, and deterministic verification through MCP tools.