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    A headless MCP server that enables AI tools (like Claude Code) to read and analyze serial logs from embedded boards (ESP32, STM32) for firmware debugging, with read-only tools for log retrieval and a built-in web viewer.
    6
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    Enables controlling multiple USBTMC (USB Test and Measurement Class) devices simultaneously using SCPI commands through a unified MCP interface.
    11
    MIT
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    MCP server for scaffolding, building, and flashing bare-metal STM32C011 firmware using the STM32CubeCLT toolchain. Exposes tools for project scaffold, build, flash, and probe listing.
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    Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.
    44
    1,138 PyPI
    18
    Apache 2.0
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    Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.
    6
    2
    Apache 2.0
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    An MCP server that enables AI assistants to control Siglent SDS oscilloscopes over a local network using SCPI commands. It allows users to measure signals, configure channel and acquisition settings, and capture waveforms or screenshots through natural language.
    13
    12 npm
    7
    MIT
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    AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.
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    MIT
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    MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.
    8
    1
    MIT
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    Enables LLMs to control RIGOL oscilloscopes over SCPI via LAN or USB, including configuring channels/timebase/trigger, taking measurements, capturing waveforms and screenshots, decoding serial protocols, running FFT analysis, and controlling the built-in AFG.
    38
    MIT
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    MCP server that lets AI assistants control Siglent SDG waveform generators over a local network using natural language, supporting signal generation, modulation, sweep, burst, and arbitrary waveforms.
    21
    6 npm
    MIT
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    Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.
    24
    36
    MIT
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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.
    12
    1
    MIT
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    MCP server for debugging STM32 microcontrollers over ST-LINK using STM32CubeCLT tools (GDB, ST-LINK_gdbserver, STM32_Programmer_CLI) with session management, flashing, breakpoints, memory/register access, and expression evaluation.
    19
    1
    GPL 3.0
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    Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.
    14
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    MIT
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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.
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