A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.
Connects Sensor Bio wearable data to AI assistants via the Model Context Protocol, enabling queries about sleep, heart rate, activity, and other biometrics.
Real-time human state awareness for AI agents. Fuses cardiovascular, vocal, visual, and textual signals into a unified stress score (0-100). Streamable HTTP transport with 4 tools: ingest_signal, get_human_state, get_history, delete_subject.
Connects AI assistants (Claude, Cursor, etc.) directly to the HiveFlow automation platform, allowing them to create, manage, and execute automation flows through natural language commands.
Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.
