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 AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.
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 LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.
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.
Enables Claude to create, update, and manage LED patterns on a PixelBlaze controller, including setting brightness and reading device info, through a set of tools that interact with the device's API.
MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.
A local-first, read-only MCP server for vehicle diagnostics that exposes structured OBD-II tools for reading PIDs, DTCs, and ECU snapshots without raw protocol access.
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.
A Model Context Protocol (MCP) server for ROS 2 that enables GitHub Copilot and other AI agents to interact with ROS 2 systems. This server provides tools for monitoring, debugging, and managing ROS 2 nodes, topics, services, and TF2 frames.
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 agents to communicate with serial devices such as Arduinos, ESP32s, USB-UART adapters, and RS-232 instruments by discovering ports, opening connections, sending commands, reading responses, and controlling reset lines.