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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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    An MCP server that lets AI agents control an RS PRO RS-3005P/RS-6005P programmable DC power supply over USB/RS232, enabling voltage/current control, measurements, output switching, and memory operations.
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    MIT
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    MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.
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    MIT
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    A read-only MCP server for AI agents to understand KiCad projects through progressive disclosure, providing compact summaries and drill-down tools for components, nets, traces, and ERC/DRC checks without blowing context budgets.
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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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    Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.
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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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    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.
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    Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.
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    MIT
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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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    Enables LLM control of Moku devices through network discovery, connection management, configuration deployment, and signal routing. Supports graceful ownership handoff between different interfaces (CLI, iPad, LLM) for seamless workflow integration.
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    BSD 2-Clause "Simplified"
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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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    Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.
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    MIT
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    Local, read-only MCP server for inspecting DBC files and decoding CAN capture logs, with bounded and composable tools.
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    MIT
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    A Model Context Protocol (MCP) server for ROS 2 that enables GitHub Copilot and other AI agents to interact with ROS 2 systems. This server provides tools for monitoring, debugging, and managing ROS 2 nodes, topics, services, and TF2 frames.
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    MIT