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    MCP server providing embedded engineering calculators and code generators as tools for AI agents, enabling precise, deterministic embedded math and C code generation.
    29
    74 npm
    MIT
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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
    1
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    Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.
    4
    261 PyPI
    MIT
  • A
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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
    890 PyPI
    18
    Apache 2.0
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    Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
    38
    486 PyPI
    10
    MIT
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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
    4
    Apache 2.0
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    Enables Android Automotive developers to explore and implement Vehicle Hardware Abstraction Layer (vHAL) properties with intelligent tools for property analysis, source code lookup, implementation guidance, and automated code generation for automotive systems like climate control and seat management.
    8
    1
    MIT
  • A
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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.
    6
    5
    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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    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 communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.
    14
    12
    MIT
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    quality
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    Enables AI agents to control a tinySA spectrum analyzer over USB, discovering the device, capturing or scanning spectra, configuring RBW/attenuation/units, and finding peaks, with CSV and JSON exports. It runs headless with automatic port detection and no GUI or network listener.
    11
    MIT
  • F
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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.
    3
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    AI-driven USB logic analyzer control via FastMCP. Captures digital traces, decodes UART/I2C/SPI, and exports VCD for PulseView, supporting sigrok hardware and built-in simulator.
    6
    2
    MIT