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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.
    15
    31 npm
    MIT
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    A Model Context Protocol (MCP) server that exposes lnav log file analysis capabilities to AI assistants, specifically optimized for Kvaser Plain Text Log Frame CAN bus log processing.
    9
    MIT
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    MCP server for serial port communication. Provides tools to open, read, write, and manage serial ports through the Model Context Protocol.
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    A comprehensive Model Context Protocol (MCP) server for Arduino CLI interactions, built with FastMCP. This server enables AI agents to seamlessly interact with Arduino CLI for development, debugging, code verification, and more.
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    MIT
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    Enables AI agents to query a verified, sourced knowledge base about NVIDIA Jetson devices via the Model Context Protocol, with every claim cited and knowledge gaps explicitly stated.
    1
    Apache 2.0
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    A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.
    9
    Apache 2.0
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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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    Linkr KVM MCP Server exposes Radxa Linkr KVM controls through the Model Context Protocol (MCP). It lets an MCP client capture screenshots, crop screen areas, send keyboard and mouse events, type text, wait for on-screen text, and ask vision/OCR models about the current screen.
    GPL 3.0
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    Drive a Cynthion USB test instrument from an LLM via the Model Context Protocol. Sniff, decode, and emulate USB devices over chat.
    5
    BSD 3-Clause
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    Enables AI agents to control TriCore/AURIX debug sessions, including workspace loading, target connection, flashing, run control, breakpoints, and reading variables, registers, memory, and call stacks via the UDE Object Model.
    MIT
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    Bridges the Model Context Protocol (MCP) with ESP32 devices running Tasmota firmware, enabling LLMs to send structured commands like toggling relays or reading sensors via HTTP.
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    Enables AI assistants like Claude to control Arduino boards in real-time, allowing users to turn LEDs on and off through natural language commands using the Model Context Protocol and Firmata.
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