"A tool for extracting code metadata and exposing it via MCP" matching MCP servers:

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

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

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.

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 AI assistants to interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.

Enables AI assistants to compile, upload, and monitor Arduino boards via natural language, with electrical safety checks and dependency management.

MCP server exposing KiCad PCB Editor functionality via IPC API.

An MCP server for controlling Rigol oscilloscopes from an AI assistant. It translates MCP tool calls into SCPI commands over PyVISA.

Enables programmatic control of the Yingjia EMK850+ low-power analyzer via a serial port, exposing FastAPI endpoints for reading power, version, configuration, clearing the baseline, and managing the serial port.

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.

Enables agents to query LAVA board farms, submit and manage test jobs, and open interactive board sessions via the LAVA REST API.

Read-only MCP server for diagnosing H7-TOOL hardware via Modbus, USB HID, and Lua diagnostics, exposing only safe read operations.

A fully local MCP server for Mixly that lets AI clients discover boards, scan blocks, build/validate/open projects, generate code, and compile via Arduino CLI—all without uploading source or relying on a remote server.

MCP server for TwinCAT 3 PLC development enabling AI coding agents to build, configure, deploy, and debug TwinCAT PLC projects through a standard tool interface.

Exposes a single tool run_bash for executing arbitrary shell commands on a Raspberry Pi or host, with no security restrictions, using LangChain and Streamable HTTP transport.

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.

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.

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).

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.