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"Pull requests authored by user '8randonpickart5'" matching MCP servers:

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    Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.
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    MIT
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    Debug microcontrollers directly from Claude. This is an MCP server that drives OpenOCD, letting Claude flash firmware, control execution, and inspect a running target — and read your variables and peripheral registers by name instead of raw addresses.
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    MIT
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    An OpenOCD debug MCP server that manages debugging targets and sessions by reusing VS Code launch configurations. It enables firmware flashing, GDB command execution, and real-time status monitoring of embedded systems.
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    MIT
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    Enables AI tools to program Microchip AVR microcontrollers via natural language by wrapping pymcuprog, supporting USB HID debuggers and serial UART UPDI adapters.
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    MIT
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    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.
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    Enables LLM agents to operate on KiCad by reading compressed schematics (TOON format), executing atomic tools, and updating context via delta and local area.
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    IoT firmware CVE intelligence and PoC auto-download MCP server for AI agents, enabling vulnerability lookup, EPSS risk ranking, and PoC retrieval by firmware/component.
    AGPL 3.0
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    Enables AI assistants to manage ESPHome devices by listing, inspecting, editing, validating, compiling, and flashing firmware over-the-air via the ESPHome WebSocket API.
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    MIT
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    Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.
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    MIT
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    Enables Large Language Models to act as co-debuggers for Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and motor control analysis through OpenOCD proxy architecture. Supports debugging TI microcontrollers with XDS110 debug probes while working alongside Code Composer Studio.
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    An MCP server that enables AI agents to read serial output from devices by buffering lines in the background and allowing polling for new output, preventing blocking on long-running serial monitors.