Enables AI assistants to interact with LLDB debugging sessions through a standardized MCP interface, allowing natural language commands for debugging tasks like setting breakpoints, stepping, and evaluating expressions.
Enables AI agents to interact with GDB for debugging via the MCP protocol. Supports setting breakpoints, stepping through code, inspecting memory and registers, and more.
Enables AI agents to control TriCore/AURIX debug sessions, including workspace loading, target connection, flashing, run control, breakpoints, and reading variables, registers, memory, and call stacks via the UDE Object Model.
Stateful MCP server for driving debug probes (J-Link) to flash, debug, and inspect embedded targets. Enables AI agents to perform flash, memory, breakpoint, and ELF/SVD-aware operations conversationally.
Enables AI assistants to perform interactive Python debugging with breakpoints, step execution, and variable inspection using the Debug Adapter Protocol (DAP) through an MCP server interface.