bci-mcp
If you are the rightful owner of bci-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
BCI-MCP integrates Brain-Computer Interface technology with the Model Context Protocol for advanced neural signal processing and AI interactions.
The Brain-Computer Interface with Model Context Protocol (BCI-MCP) project combines BCI technology with MCP to create a robust framework for acquiring, processing, and interacting with neural signals in real-time. This integration facilitates applications in healthcare, accessibility, research, and human-computer interaction by leveraging the capabilities of both BCI and MCP. BCI-MCP enables real-time neural signal acquisition, processing, and command generation, while MCP provides a standardized interface for AI communication, allowing for secure data exchange and composable workflows. The system architecture includes BCI hardware and software, an MCP server, and AI applications, creating a seamless environment for developing cutting-edge applications.
Features
- Neural Signal Acquisition: Capture electrical signals from brain activity in real-time.
- Signal Processing: Preprocess, extract features, and classify brain signals.
- Command Generation: Convert interpreted brain signals into commands.
- Standardized Context Sharing: Connect BCI data with AI models using MCP.
- Secure Data Exchange: Enable privacy-preserving neural data transmission.
