"Microsoft 365 MCP Server by Softeria AS" matching MCP servers:

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.

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

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.

Gives AI coding agents typed, bounded tools to boot QNX OS 8.0 QEMU targets, build with the QNX SDP toolchain, deploy and run programs under timeouts, and pull verified source-level backtraces from dumper core files. It also returns process/thread state and slog2 log output as structured JSON instead of free-text shell output.

This MCP server acts as a local stdio proxy for whatic.io's remote IC-discovery server, enabling MCP clients to search electronic components and retrieve part specs, comparisons, and images.

An MCP server for the Pebble smartwatch ecosystem, offering appstore search, a 64-color design toolkit, and build-emulator-screenshot development workflows as typed tools.

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

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

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

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 Claude Code sessions to control a Rigol DS1054Z oscilloscope over USB, reading identity, settings, measurements, screenshots and waveforms, and applying undoable or destructive changes such as channel, timebase, trigger and acquisition configuration, run control, autoscale and reset. Tool calls come with read-only and destructive hints so safe operations can be auto-approved while risky ones stay behind user approval.

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.

Debug microcontrollers directly from Claude. This is an MCP server that drives OpenOCD, letting Claude flash firmware, control execution, and inspect a running target — and read your variables and peripheral registers by name instead of raw addresses.

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.

AI-powered FPGA power estimation assistant that wraps Xilinx PDM API as MCP services for natural language power modeling and analysis.

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 tools to program Microchip AVR microcontrollers via natural language by wrapping pymcuprog, supporting USB HID debuggers and serial UART UPDI adapters.

Enables an AI agent to control one or more remote GPIO agents through a conversation by proxying tool calls to their REST APIs. It supports API-key authentication, LAN discovery, and both stdio and Streamable HTTP transports.

Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

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.

Enables LLMs to control a Nordic Power Profiler Kit II over USB serial for current capture (500 nA–2000 mA at 100 kSa/s plus 8 logic channels) and DUT power sourcing (0.8–5 V), with samples written to npz files. Also supports offline analysis such as statistics, activity/duty-cycle segmentation, and battery-life estimation.

An MCP server that enables AI agents to read serial output from devices by buffering lines in the background and allowing polling for new output, preventing blocking on long-running serial monitors.

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

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 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.

Exposes ISO 14229 Unified Diagnostic Services as MCP tools, letting any MCP client run session control, DID reads and writes, DTC queries, routine control, security access and raw requests against a real ECU on a CAN bus or against a built-in simulator. A claim/release access model lets multiple clients safely share one device under test, with hardware-free simulation for offline test-plan development.

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 reading status, scripts, parameters, and logs from a monome norns and performing gated writes, screenshots, script control, and safe deploys over SSH, OSC, and the matron REPL. Writes are dry-run by default and require explicit live and confirm flags.

Enables AI agents to debug STM32 firmware on real hardware by driving GDB with OpenOCD/ST-Link/J-Link to flash, set breakpoints, inspect memory, registers and RTOS state, triage HardFaults, and profile. Returns decoded, structured evidence and suggested next actions instead of raw GDB text, with composite tools that collapse multi-step debug loops into single calls.

Lets MCP clients such as Codex control an ESP32 face through semantic expressions, status and capability reads, and neutral resets over a local STDIO or loopback HTTP interface.