"Information about Zabbix monitoring software" matching MCP servers:

Connects MCP clients to live EasyEDA Pro projects, enabling schematic and PCB inspection and editing through natural language.

Enables controlling a Dirtywave M8 over USB by reading its screen as text, pressing buttons, playing notes, and retrieving system information through MCP tools.

All-in-one developer tool and MCP Server for Roku development, featuring ECP device control, automated channel sideloading, BrightScript debugging, and real-time log monitoring.

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.

Enables AI assistants to operate a Fishball7020/PlutoSky software-defined radio, including tuning, spectrum analysis, band scanning, IQ capture, FPGA filtering, and optional transmission.

MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.

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.

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.

Enables local UART and serial-port debugging through MCP, providing persistent capture, log search, regex/event monitoring, HEX send/query, protocol parsing, and shell-like command sequences.

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.

Enables AI coding agents to build, flash, debug, and communicate with STM32 microcontrollers over ST-Link entirely within the conversation. Provides headless CubeIDE builds, OpenOCD flashing, hardware breakpoints, live SWD variable monitoring resolved by C symbol names, fault triage, and pooled serial VCP I/O with deterministic sequencing for hardware-in-the-loop tests.

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

Gives AI agents direct hands-on access to physical hardware and host OS resources over local stdio: serial monitoring with crash-dump detection, firmware compile/flash via arduino-cli, PlatformIO, ESP-IDF and esptool, direct GPIO/I2C/SPI over FTDI bridges, BLE GATT operations, webcam or microscope snapshots, logic analyzer captures, audio recording and test tones, GUI screenshots and hotkeys, and Android ADB commands. It also helps diagnose toolchain and serial-permission problems and identify or terminate processes that lock a port.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Enables AI clients to read and configure flight controllers running Betaflight firmware over USB serial using MSP, with tools for telemetry, battery monitoring, PID/rates tuning, filters, modes, and saving configuration.

Enables Claude Code to see and control a Meta Quest headset via ADB, providing tools for screenshots, logs, performance monitoring, app management, and more.

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.

Enables AI assistants to control a Sphero RVR robot via the MCP protocol, including movement, LEDs, sensors, and battery monitoring.

An MCP server that lets AI coding agents drive the full STM32 development loop—code generation, build, flash, debug, serial monitoring, and fault diagnosis—end to end via CubeIDE, CubeMX, CubeProgrammer, OpenOCD, and GDB.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Connects AI agents to Siemens industrial PLCs for automatic monitoring and control of industrial equipment.

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.

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.

Enables AI assistants to directly interact with Matter devices and protocol operations, including device commissioning, attribute read/write, commands, and event monitoring, through natural language.

Control a Siglent SPD1305X (or SPD1000X series) programmable DC power supply from Claude Code over Ethernet using SCPI commands, with safety limits and monitoring tools.

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.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

Enables AI agents to control USB power for embedded development boards via Yepkit YKUSH hubs, allowing power switching, monitoring, and power-cycling through MCP tools.

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.

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.