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STM32 J-Link MCP

by jpdev2022

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      Enables AI assistants to debug embedded devices via SEGGER J-Link probes, including reading memory, flashing firmware, streaming RTT logs, and diagnosing crashes.
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      MIT
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      Enables AI assistants like Claude to directly debug microcontrollers via JLink, supporting breakpoints, single-step, memory/register access, variable inspection, RTT logging, and firmware flashing.
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      Enables AI assistants to interact with STM32 development boards via J-Link debugger using RTT communication, supporting connection, logging, memory operations, and firmware flashing through natural language.
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      Enables AI agents to debug STM32 firmware on real hardware by driving GDB with OpenOCD/ST-Link/J-Link to flash, set breakpoints, inspect memory, registers and RTOS state, triage HardFaults, and profile. Returns decoded, structured evidence and suggested next actions instead of raw GDB text, with composite tools that collapse multi-step debug loops into single calls.
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      Enables AI to directly control SEGGER J-Link embedded debug probes via the Model Context Protocol for debugging and firmware management. Users can perform tasks like reading registers, analyzing memory, flashing firmware, and tracking RTT logs using natural language commands.
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      Enables AI coding agents to build, flash, debug, and communicate with STM32 microcontrollers over ST-Link entirely within the conversation. Provides headless CubeIDE builds, OpenOCD flashing, hardware breakpoints, live SWD variable monitoring resolved by C symbol names, fault triage, and pooled serial VCP I/O with deterministic sequencing for hardware-in-the-loop tests.
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      MIT