BCI-MCP (Brain-Computer Interface)

by enkhbold470

Not rated

GitHub

About

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.

Details

Author: enkhbold470
Repository: enkhbold470/bci-mcp
License: MIT License
Categories: Design, Developer Tools, AI, Infrastructure, Frontend
Tags: #web

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name BCI-MCP (Brain-Computer Interface)

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 bci-mcp
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "bci-mcp"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "bci-mcp"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "bci-mcp"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "bci-mcp"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "bci-mcp"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

`list_devices`

List all available EEG devices that can be connected.

`connect`

Establish a connection to a specified EEG device.

`disconnect`

Disconnect from the currently connected EEG device.

`get_brain_state`

Retrieve the current state of the brain metrics, including focus, calm, and attention levels.

`get_band_powers`

Get the power levels of different EEG frequency bands.

`get_signal_quality`

Check the quality of the EEG signal being received.

`get_metric_definitions`

Retrieve definitions and details of the metrics being used.

`calibrate`

Calibrate the EEG device for accurate readings.

`record`

Record EEG data for a specified duration.

`start_neurofeedback`

Begin a neurofeedback session targeting a specific metric and target value.

`get_neurofeedback_score`

Retrieve the score from the last neurofeedback session.

`mark_event`

Mark a specific event in the EEG data for future reference.

`stream_summary`

Get a summary of the current streaming data from the EEG device.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "bci-mcp (brain-computer interface)": {
            "env": {},
            "args": [
                "-y",
                "bci-mcp"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "bci-mcp"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "bci-mcp"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "bci-mcp"
    ],
    "command": "cmd"
}

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

list_devices

connect

disconnect

get_brain_state

get_band_powers

get_signal_quality

get_metric_definitions

calibrate

record

start_neurofeedback

get_neurofeedback_score

mark_event

stream_summary

Claude Desktop / Cursor

Linux

Macos

Windows

Install

More like this

Sentry

Github

Git

GitLab

Context 7

1Panel

`list_devices`

`connect`

`disconnect`

`get_brain_state`

`get_band_powers`

`get_signal_quality`

`get_metric_definitions`

`calibrate`

`record`

`start_neurofeedback`

`get_neurofeedback_score`

`mark_event`

`stream_summary`