"A server for enabling an AI agent to view and analyze video files" matching MCP servers:

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

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

Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

Enables MCP clients to control emulated and physical MSX computers through openMSX automation or a hardware agent, including screen reading, BASIC input, memory/VRAM access, file transfer, and documentation search.

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

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 agents to observe and control a browser-based 2D robot simulator, including driving, configuring sensors and modules, running programs, and generating wiring, firmware, and parts lists for ESP32, Arduino Uno, or Raspberry Pi.

Enables MCP-capable agents to execute boardless AMD Vivado Project Mode PL development flows through safe, policy-constrained tools while preserving diagnostic and reproducible project evidence.

Enables Codex, Pi, and CLI clients to retrieve design knowledge and SOPs, orchestrate local Vivado/FPGA and LTspice workflows, enforce checks, and verify or recover traceable execution evidence.

MCP server for deterministic Vivado FPGA automation including project scaffolding, simulation, synthesis, implementation, and gated bitstream generation.

Enables an AI agent to write ladder logic and import programs and comments into Mitsubishi GX Works2, Siemens TIA Portal and Omron CX-Programmer through a single MCP endpoint that routes vendor-prefixed tools to each tool's own backend. Backends keep their own approval flows while a shared rule withholds live-PLC writes and deletions.

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

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 clients to compile and upload Arduino sketches, manage boards, cores, and libraries via arduino-cli, scaffold projects, and read serial output over stdio.

MCP server for running shell commands on a Linux development board via UART serial.

Enables file-only MCP workflows for Delta DOP-B/DOPSoft 2 and DOP-100/DIAScreen HMI engineering through isolated backends and explicit source/target/plan contracts, supporting audited preview, validation, approval, application, new-only save, and diff operations while preserving unknown native bytes.

MCP server & Agent Skill for STM32CubeMX 6.x (HAL1). Discover MCU configuration options, parameters and constraints, and compile declarative JSON into .ioc projects offline.

Runs a Model Context Protocol server directly on Axis cameras, enabling any MCP-capable AI to inspect and control the camera without cloud or middleware.

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

Enables AI agents to capture and analyze digital signals from DSLogic Plus and sigrok-supported devices, with archived captures, channel statistics, edge excerpts, and deterministic protocol decoding.

Enables AI assistants to analyze hardware simulation VCD waveforms and GTKWave save files, providing access to signal values, bus definitions, and groupings without loading entire files.

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

Enables GDB debugging for embedded development workflows, allowing users to start sessions, load programs, set breakpoints, step through code, and examine memory/registers/variables via natural language.

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

MCP server for embedded debugging based on probe-rs, providing 22 tools for ARM Cortex-M and RISC-V microcontrollers, including connection, memory operations, breakpoints, flash programming, and RTT communication.

Enables users to manage Android ROM projects through MCP by importing, unpacking, repacking, and synthesizing images, DAT/BR files, and super partitions using the toolkit’s shared workflows.

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.

An MCP server for source-grounded, page-cited evidence retrieval tailored for embedded and firmware development, returning verbatim snippets with exact citations or 'no match' to prevent fabrications.

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