"Dart" matching MCP servers:

A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

Enables SSH-based remote access to dark.lmphq.net for executing commands, listing Docker containers, and reading files via the MCP protocol.

Enables local UART and serial-port debugging through MCP, providing persistent capture, log search, regex/event monitoring, HEX send/query, protocol parsing, and shell-like command sequences.

Enables GPT Desktop to interact with local file systems and execute shell commands. Supports file operations (read, write, edit, delete), directory management, file search, and git status checks through natural language.

An MCP server that folds function and class implementations into structural skeletons while preserving signatures, interfaces, and docstrings, reducing tokens by up to 90%+ for AI agents. Exposes tools to get repository skeletons, unfold specific symbols on demand, and retrieve exact token and prompt cost savings metrics.