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 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.
Provides AI assistants with tools for Arm architecture development, migration, and optimization, including knowledge base search, code migration analysis, container inspection, assembly performance analysis, and workload performance testing.
Enables interaction with Arduino development through arduino-cli, allowing sketch management, code compilation and uploading, library and board operations, serial monitoring, and AI-powered circuit diagram generation using WireViz.
Enables AI assistants to automate CODESYS V3 PLC development, including project editing, builds, library and alarm management, online variable read/write/force operations, and CODESYS documentation search via MCP.
MCP server that lets an AI agent operate a bench oscilloscope over LAN/SCPI to observe physical pin behavior, bridging RTL simulation and hardware testing.
Enables AI agents to control an ESP32-C3 audio client via MQTT for playing, pausing, and managing music from an HTTP library, with support for playlists and volume control.
