"Tools for enabling LLMs to interact with web pages and perform end-to-end testing" 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.

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

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

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.

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.

Allows AI agents to interact with serial devices via RS232/UART, enabling port listing, connection, read/write, control line manipulation, and protocol specification for automated debugging and testing.

Enables MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.

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.

Enables an AI agent to drive a Beckhoff TwinCAT 3 setup end to end: read and write live PLC variables and system state over ADS, manage files and processes on the target IPC, build and edit projects through the XAE automation interface, capture and analyze long-running signal recordings, run scripted test benches and TcUnit suites, and look up the official Beckhoff Infosys documentation. Runs as a single Python process on the engineering PC with read-only, guarded, and full safety modes plus human-in-the-loop confirmation for destructive operations.

An MCP server that lets AI coding agents drive the full STM32 development loop—code generation, build, flash, debug, serial monitoring, and fault diagnosis—end to end via CubeIDE, CubeMX, CubeProgrammer, OpenOCD, and GDB.

This MCP server enables AI models to interact with ESP32 devices, providing built-in tools for web search, note management, calculator, and custom tools like todo lists and timers.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.

An MCP server that gives AI agents end-to-end control of KiCad 9+ for rule checks, manufacturing exports, production-readiness certification, and live PCB editor control.

A Model Context Protocol server for HarmonyOS development, enabling AI assistants to interact with HarmonyOS projects, devices, and applications.

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.

MCP server that enables AI agents to interact with Vector CANoe for automotive bus testing and diagnostics using natural language commands.

Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.

An MCP server for managing ESP-IDF workflows, enabling LLMs to build, flash, and test firmware for ESP32 and related microcontrollers. It provides tools for project creation, target configuration, and serial port management to simplify embedded development.

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.

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.

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.

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

Enables MCP clients to control a Nordic PPK2 for power profiling: configure source/measurement modes, set voltage, power DUT, measure current/power/energy, and capture logic channels.

Check 22,000+ devices with open firmware or open protocols (OpenWrt, LineageOS, coreboot, Zigbee2MQTT, Tasmota…) before reverse engineering one; claim a device while you work on it and publish your findings when done.

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.

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.