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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.
    37
    129 PyPI
    10
    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.
    7
    1
    MIT
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    Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.
    19
    33 PyPI
    MIT
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    Enables AI clients to compile and upload Arduino sketches, manage boards, cores, and libraries via arduino-cli, scaffold projects, and read serial output over stdio.
    26
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    MIT
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    Enables AI assistants to interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.
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    Enables safe mock-first diagnostics and explicitly gated, receive-only I/Q control with bounded sample reads for an operator-managed STEMlab 125-14, plus optional fixed read-only SSH checks and no transmit path.
    9
    MIT
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    Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.
    24
    2
    AGPL 3.0
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    A typed Model Context Protocol server that exposes KiCad 10 EDA workflows to language-model clients through validated tool calls.
    MIT
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    Remote automation server for AMD Vivado builds and analysis over SSH, enabling MCP clients to run synthesis, implementation, and debug without local toolchain.
    MIT
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    Provides MCP tools for terminal session control, serial/SSH/Shell connections, workspace configuration, J-Link debugging, RTT logging, and UI interaction, enabling AI hosts to collaboratively operate embedded development workflows.
    AGPL 3.0
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    Enables users to manage Android ROM projects through MCP by importing, unpacking, repacking, and synthesizing images, DAT/BR files, and super partitions using the toolkit’s shared workflows.
    2
    AGPL 3.0
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    Enables managing NanoKVM devices via PicoClaw MCP, including status checks, reboots, and macOS recovery key operations, with secure SSH-based relay.
    MIT
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    Enables AI assistants to manage Raspberry Pi systems and RetroPie gaming setups through SSH, allowing natural language configuration of emulators, controllers, and system settings.
    3
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    Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.
    3
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    MIT