BCI MCP (Brain Computer Interface)

🚀 Brain-Computer Interface and Model Context Protocol Integration System (BCI-MCP)

This project combines Brain-Computer Interface (BCI) technology with Model Context Protocol (MCP) to build a powerful framework for the collection and processing of neural signals, as well as AI-assisted interaction.

🚀 Quick Start

Installation Dependencies

1. Install MkDocs and related plugins:

   pip install mkdocs-material mkdocstrings mkdocstrings-python
   

2. Start the documentation server:

   mkdocs serve
   

3. Access the documentation: Open http://localhost:8000 in your browser.

Contribution Guidelines

1. Create a feature branch:

   git checkout -b feature/amazing-feature
   

2. Commit changes:

   git commit -m 'Add amazing feature'
   

3. Push to the remote repository:

   git push origin feature/amazing-feature
   

4. Submit a Pull Request

✨ Features

BCI Core Functions

• Neural signal collection: Capture and process electroencephalogram signals in real-time.
• Data processing: Analyze and transform the acquired neural signals.
• Command generation: Convert neural signals into executable control instructions.
• Real-time operation: Complete signal processing and response within milliseconds.

MCP Protocol Functions

• Model interaction: Establish a connection with an external AI system.
• Context management: Handle state switching in multi-task scenarios.
• Data communication: Achieve seamless docking between neural signals and machine instructions.
• Error recovery: Maintain the stable operation of the system under abnormal conditions.

🔧 Technical Details

System Architecture

.
├── docs/                  # Documentation directory
│   ├── api/               # API documentation
│   ├── features/          # Feature documentation
│   ├── getting-started/   # Getting started guide
│   └── index.md           # Home page documentation
├── mkdocs.yml             # MkDocs configuration file
└── .github/workflows/     # GitHub Actions workflows

Project Structure

.
├── docs/                  # Documentation directory
│   ├── api/               # API documentation
│   ├── features/          # Feature documentation
│   ├── getting-started/   # Getting started guide
│   └── index.md           # Home page documentation
├── mkdocs.yml             # MkDocs configuration file
└── .github/workflows/     # GitHub Actions workflows

📚 Documentation

Overview

BCI-MCP combines the following functions:

• Brain-Computer Interface (BCI): Collect and process neural signals in real-time.
• Model Context Protocol (MCP): A standardized AI communication interface.

This integration enables advanced applications in fields such as healthcare, assistive technology, research, and human-computer interaction.

📄 License

This project is licensed under the MIT License. Please refer to the LICENSE file for details.

Acknowledgments

• Thanks to the OpenBCI project.
• Built on the Model Context Protocol framework.
• Thanks to the contributions of the neuroscience and AI research communities.