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.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.