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Popular MCP Servers

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    Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.
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    An OpenOCD debug MCP server that manages debugging targets and sessions by reusing VS Code launch configurations. It enables firmware flashing, GDB command execution, and real-time status monitoring of embedded systems.
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    Bridges Claude Code to CNCjs to enable remote control and monitoring of GRBL-based CNC machines. It provides a comprehensive toolset for managing G-code jobs, machine movement, and safety operations through natural language.
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    MIT
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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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    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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    A deterministic MCP server for BitBake and Yocto that allows users to search, scan, and parse recipe files. It enables the extraction of raw variable assignments from .bb and .bbappend files without performing variable evaluation.
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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.
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    An MCP server for Nordic nRF Connect SDK development that enables users to list, read, and search documentation and sample code from the nrfconnect/sdk-nrf repository. It provides Claude with specialized tools to navigate SDK resources, source files, and configuration examples directly through the GitHub API.
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    An MCP server that provides AI coding assistants with access to official ARM CMSIS SVD hardware register definitions for microcontrollers. It enables precise querying of register names, bit positions, and addresses to prevent hallucinations during embedded systems development.
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    Enables Large Language Models to act as co-debuggers for Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and motor control analysis through OpenOCD proxy architecture. Supports debugging TI microcontrollers with XDS110 debug probes while working alongside Code Composer Studio.
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    Enables control and querying of Rigol DHO824 oscilloscopes, allowing users to capture waveforms, take screenshots, and interact with oscilloscope settings through natural language.
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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.
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    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.
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    Enables automated generation of FreeRTOS embedded projects for chips like BK7252, STM32F4, and ESP32. Provides intelligent project structure creation, peripheral driver code generation, and complete embedded development workflows through natural language interaction.
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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.
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    Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.
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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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    Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.
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    Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.
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    Enables AI assistants to interact with SIEMENS PLC S7-1500/1200 controllers through their JSON-RPC API, supporting authentication, tag browsing, variable read/write operations, alarm management, and diagnostic buffer access.
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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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    An MCP server for managing ESP-IDF workflows, enabling LLMs to build, flash, and test firmware for ESP32 and related microcontrollers. It provides tools for project creation, target configuration, and serial port management to simplify embedded development.
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    Enables interaction with Arduino development through arduino-cli, allowing sketch management, code compilation and uploading, library and board operations, serial monitoring, and AI-powered circuit diagram generation using WireViz.
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    An MCP server for EMBA firmware analysis that exposes structured security findings and tools to LLMs. It enables users to programmatically query, reason over, and correlate firmware analysis results such as kernel details, SBOMs, and attack paths.
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