Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.
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.
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.
An MCP server for the Pebble smartwatch ecosystem, offering appstore search, a 64-color design toolkit, and build-emulator-screenshot development workflows as typed tools.
Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
MCP server enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.
A Model Context Protocol (MCP) server that exposes lnav log file analysis capabilities to AI assistants, specifically optimized for Kvaser Plain Text Log Frame CAN bus log processing.
Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.
Provides tools to search and retrieve LILYGO hardware documentation, including product listings, full specs, and sectioned guides, with live fetching from GitHub.
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 AI assistants to connect to and control the IAR C-SPY debugger through MCP tools, supporting session lifecycle, run control, breakpoints, memory inspection, stack and locals viewing, disassembly, symbol lookup, and terminal I/O capture.