"Cómo ver errores y advertencias en Visual Studio Code" matching MCP servers:

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.

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

An MCP server that enables AI assistants to analyze schematics, inspect PCBs, trace connections, validate designs, and generate embedded code for KiCad projects.

Enables agents to work with local hardware engineering context — registered repositories, imported PDFs and documents, and user-created system diagrams — through stdio tools for bounded source search and file reading, document text extraction and PDF page/crop rendering, and reading or drafting system architecture models. It runs entirely on local storage with no code index, hosted backend, or model provider routing, leaving the agent's own model, keys, and permissions intact.

Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.

Enables an MCP client to drive CST Studio Suite 2026 through its official Python automation API, covering 3D modelling, materials, ports, boundaries, mesh and solver configuration, solver runs, and result reading. Also provides verification and export tools — S11, reference impedance, port diagnostics, energy budget and model audit — plus Touchstone/ASCII/JSON evidence output and parameter sweeps, all locally over stdio.

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.

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.

The agent can't claim the firmware works — until the board says so. Hardware-in-the-loop verification gate: build → flash → boot banner → exit code.

MCP server for structured GB Studio 4.x project editing, enabling read/patch scripts, scenes, actors, triggers, variables; build ROMs; and sprite generation.

MCP server that gives Claude Code full control over the CrossPad development workflow — build, test, manage app packages, interact with the simulator, search code across repos — all from natural language.

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 searching and retrieving native EMS registers, SunSpec models and points, and closed-loop control recipes for Wattsonic MATIC hybrid inverters, validating planned Modbus writes against the documentation, and generating client code. It provides documentation only and never connects to an inverter.

Enables Android Automotive developers to explore and implement Vehicle Hardware Abstraction Layer (vHAL) properties with intelligent tools for property analysis, source code lookup, implementation guidance, and automated code generation for automotive systems like climate control and seat management.

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.

A local MCP server that connects Claude Code or any MCP-compatible AI assistant to a Robonine robot arm.

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.

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 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.

Enables interaction with ESP32/MicroPython boards via tools for flashing firmware, running REPL code, file management, and serial capture, with support for progress notifications, cancellation, and error handling.

A CAN bus reverse engineering MCP server for Claude Code that lets Claude read, analyze, and map CAN bus messages from automotive and motorsport ECUs directly from the conversation.

Enables AI assistants to build and simulate Tinkercad Circuits through a real Chrome session, including placing parts, wiring pins, writing Arduino code, running simulations, and reading serial output.

Enables AI coding agents to run a SystemVerilog LSP for linting, formatting, navigation, rename, RTL hierarchy inspection, and automated RTL code actions on real projects.

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.

Provides read-only retrieval of STM32 datasheet and reference manual content with exact citations, page numbers, register details, and source hashes so Claude can answer questions or generate code from verified evidence.

MCP server for managing Raspberry Pi K3s clusters via AI assistants like Claude Code.

Enables AI agents to directly inspect and debug embedded hardware: reading/writing serial ports and bus devices, auto-detecting baud rates, parsing Modbus/NMEA/custom binary frames, plus diagnosing failures through a 45-rule fault-pattern library, error-code tables, and compile/flash error translation. Also provides pin-conflict checking, register and Cortex-M fault decoding, pre-validated driver and component selection libraries, board knowledge, and guarded flashing with post-flash byte-level verification.