BCI-MCP (Brain-Computer Interface)

Enables AI systems to receive and process neural signals from multiple EEG devices through real-time signal processing, providing brain activity data for more intuitive human-AI interactions.

BCI-MCP is a Brain-Computer Interface server that enables AI systems to receive and process neural signals through the Model Context Protocol. It supports multiple EEG devices (OpenBCI, Emotiv, NeuroSky), provides real-time signal processing with features like bandpass filtering and event detection, and exposes a WebSocket API for streaming brain activity data. The implementation includes tools for device connection, calibration, data recording, and visualization, making it valuable for creating more intuitive human-AI interactions where brain activity can provide additional context to language models.