"Creating custom experimental images in Docker" matching MCP servers:

A Model Context Protocol (MCP) server that exposes KiCad PCB design automation tools to AI assistants and other MCP clients.

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.

Enables querying PCB and schematic data and driving DelphiScript automation in Altium Designer via MCP.

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.

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.

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.

Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.

Provides an MCP knowledge base and tools for porting LuneOS to Android devices, covering kernel porting, boot images, GSI building, Yocto bring-up, nyx-modules, and a staged debugging playbook.

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 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.

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

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 LLMs to control RIGOL oscilloscopes over SCPI via LAN or USB, including configuring channels/timebase/trigger, taking measurements, capturing waveforms and screenshots, decoding serial protocols, running FFT analysis, and controlling the built-in AFG.

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 users to inspect and edit a local source workspace, build and deploy a Camera2 diagnostic APK through ADB, and retrieve YUV images with capture metadata.

Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.

Enables agents to observe a desktop and perform mouse and keyboard actions through ESP32-based BLE or USB HID hardware, with local action translation and no second model in the MCP path.

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

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 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.

ChannelTerm is an open-source MCP server that enables humans and AI agents to share live serial and SSH terminal sessions for embedded systems development and debugging. It allows AI agents to read device output, execute commands, assist with GDB debugging, and transfer files while keeping developers in control.

Enables AI assistants to interact directly with EtherCAT fieldbuses for slave topology scanning, ESM state transitions, CoE SDO/PDO access, CiA 402 servo motion control, and bus health diagnostics, with a built-in virtual bus simulator for hardware-free testing.

This server enables AI coding agents to build, boot, drive and test ESP-IDF firmware in a local ESP32 emulator, capturing UART logs, injecting hardware events, asserting output, and taking screenshots without a physical board or cloud account.

AI-driven USB logic analyzer control via FastMCP. Captures digital traces, decodes UART/I2C/SPI, and exports VCD for PulseView, supporting sigrok hardware and built-in simulator.

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.

Enables creating and editing KiCad projects through natural language, including scaffolding projects, placing schematic symbols, wires and labels, and adding PCB footprints, tracks and nets. It also runs ERC/DRC checks and exports to PDF, SVG, netlist, BOM, STEP, DXF, gerbers and drill files via kicad-cli.