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"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP servers:

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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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    MIT
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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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    MIT
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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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    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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    MIT
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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 control of MHS-5200A series signal generators via serial connection, including frequency, amplitude, waveform, and sweep settings.
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    MIT
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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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    MIT
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    An MCP server that lets AI agents control an RS PRO RS-3005P/RS-6005P programmable DC power supply over USB/RS232, enabling voltage/current control, measurements, output switching, and memory operations.
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    14
    MIT
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    Automates the Sigmatek LASAL software suite for PLC and HMI engineering, enabling AI assistants to inspect projects, apply structural changes, compile, download to hardware, and control PLC runtime.
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    MCP server for Beckhoff TwinCAT XAE / TE1000 Automation Interface, enabling control of XAE Shell, TwinCAT tree manipulation, PLC operations, and build actions via natural language.
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    MIT
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    MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.
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    35
    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.
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    12
    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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    Enables AI assistants to control Betaflight flight controllers over serial via MSP and CLI, providing real-time sensor reads, full CLI access, and auto-generated variable tools for configuration and tuning.
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    AGPL 3.0
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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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    8
    BSD 2-Clause "Simplified"