We present PiEEG Server, an open-source Python-based streaming platform that bridges low-cost PiEEG electroencephalography (EEG) hardware with modern artificial intelligence (AI) and brain-computer interface (BCI) pipelines. Running on a Raspberry Pi or any Bluetooth-enabled machine, PiEEG Server acquires neural signals at 250/500 Hz from 8- or 16-channel ADS1299-based shields (PiEEG-8, PiEEG-16), a 32-channel serial device (IronBCI-32), and Bluetooth LE headsets (IronBCI). It exposes the stream over a language-agnostic WebSocket API with plain JSON frames. The platform integrates a real-time React dashboard featuring spectral analysis, topographic maps, and an experiences gallery; built-in cognitive-state detectors for focus, relaxation, and ocular blinks; Lab Streaming Layer (LSL) compatibility with OpenViBE, MNE-Python, and BCI2000; webhook automation via IFTTT and Zapier; VRChat OSC for embodied virtual-reality applications; and an optional Rust-based native DSP accelerator (pieeg-core) delivering up to ~1057× speed-up on the Butterworth bandpass hot path. By unifying acquisition, signal processing, visualization, and integration into a single pip-installable package, PiEEG Server dramatically lowers the barrier to entry for EEG-based AI research, neuroadaptive gaming, affective computing, and open neuroscience.