"Google Vertex AI Platform" matching MCP servers:

Enables AI assistants to control Saleae Logic analyzers, capture and analyze digital/analog signals, and export data via MCP.

Provides read-only MCP tools for parsing KiCad netlists and schematics, running evidence-based audits, and generating deterministic sizing and BOMs.

An MCP server that lets an AI assistant manage your Keenetic router in plain language — list connected devices, pin static DHCP leases, rename devices, check WAN status, and reboot.

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.

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.

MCP server providing embedded engineering calculators and code generators as tools for AI agents, enabling precise, deterministic embedded math and C code generation.

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

A headless MCP server that enables AI tools (like Claude Code) to read and analyze serial logs from embedded boards (ESP32, STM32) for firmware debugging, with read-only tools for log retrieval and a built-in web viewer.

Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.

Enables AI agents to compile, flash, erase, and read serial output from embedded development boards, with guardrails such as budget limits, serial port mutexes, and mandatory human confirmation for destructive operations.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

Enables MCP-compatible AI clients to operate a RIGOL MHO98 oscilloscope over USB, including configuration, waveform and measurement acquisition, FFT analysis, and protocol decoding.

Enables AI assistants like Claude to directly debug microcontrollers via JLink, supporting breakpoints, single-step, memory/register access, variable inspection, RTT logging, and firmware flashing.

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.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

Enables AI assistants to access structured PLC brand, IEC 61131-3 language, and code-template knowledge so they can generate IDE-specific automation code from natural-language requests.

Enables AI agents to design hardware by writing C-like HDL and compiling it to Verilog, with real toolchain verification including synthesis checks.

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.

Enables secure, read-only inspection and validation of KiCad PCB boards through MCP, with deterministic routing and optional AI policy plugins.

Enables AI agents to search a catalog of MCP servers for physical hardware such as ESP32, Arduino, Raspberry Pi, 3D printers, Home Assistant devices, cameras, Zigbee and lab gear, returning install commands and ready-to-paste client configs. It also supports browsing device families and getting ranked recommendations for a specific device or model.

Enables AI assistants to flash firmware, program memory, modify option bytes, erase chips, reset boards, and capture SWO printf traces for STM32 microcontrollers via STM32CubeCLT.

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.

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

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.

Enables AI agents to control an ESP32 board's relays, GPIO pins and analog sensors over a small HTTP API on the local network, with no cloud service in the middle.

Enables AI agents to control and display real-time notifications, telemetry, and custom apps on Ulanzi TC001 and compatible pixel clocks running Awtrix Light, including device management and declarative YAML-based metric polling.

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

Enables AI coding assistants to perform complete headless STM32 embedded firmware development, including project creation, pin configuration, code generation, building, and flashing, by driving the official STM32 command-line toolchain.