"Executing CLI commands" matching MCP servers:

An MCP server that lets you define and run custom shell commands via YAML templates, with built-in tools for flashing and serial communication in embedded development.

Exposes a single tool run_bash for executing arbitrary shell commands on a Raspberry Pi or host, with no security restrictions, using LangChain and Streamable HTTP transport.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.

Lets AI assistants read, command, and debug microcontrollers over a serial connection via MCP. Provides tools for serial port discovery, reading serial output, sending commands, and decoding register values.

MCP server that wraps STM32CubeMX CLI to let AI load .ioc projects, modify pin/peripheral configurations, generate HAL code, and export pinout tables.

Standalone TypeScript MCP server for micrOS devices. Enables discovering devices, inspecting device cache, running micrOS commands, and discovering each device's available module commands.

Enables controlling multiple USBTMC (USB Test and Measurement Class) devices simultaneously using SCPI commands through a unified MCP interface.

Enables MCP clients to drive a LEGO Mindstorms EV3 over Wi-Fi SSH, with tools for movement, turning, stopping, beeping, and listing connected devices. Includes a CLI chat client that translates natural language into robot commands via Hugging Face Inference Providers.

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.

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.

An MCP server that enables AI agents to operate an oscilloscope through high-level tools like signal capture and measurement, abstracting vendor-specific SCPI commands.

Enables MCP clients to discover connected gadgets, read their state and events, and route commands to them over versioned device contracts on local USB and TCP transports. Ships with a configurable software simulator so device interactions can be exercised without physical hardware.

MCP server for controlling CNC machines via Universal GCode Sender. Lets Claude (or any MCP-compatible AI assistant) connect to a CNC machine, inspect G-code, and issue motion commands — all through the UGS Pendant REST API.

MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.

Enables AI agents to communicate with serial devices such as Arduinos, ESP32s, USB-UART adapters, and RS-232 instruments by discovering ports, opening connections, sending commands, reading responses, and controlling reset lines.

Enables AI agents to discover and manage embedded boards, and perform serial communication through a TCP gateway, supporting commands, logs, and transactional exchanges.

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

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.

Automates Arduino CLI workflows including dependency checks, compile/upload, serial monitoring, and safety preflight checks, all running locally on your machine.