MCP servers to handle multimodal medical data
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Process and prepare your multimodal medical data with natural language!
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- Ketansuhaas
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- Provides an MCP server for EEG data analysis.
- Uses the MNE Python library for neuroimaging data processing.
- Integrates seamlessly with Claude Desktop via claude_desktop_config.json.
- Relies on the uv package manager for environment setup.
- Supports manual or automatic server startup.
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
MCP servers to handle multimodal medical dataCommand (node, npx, python, etc.)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
From the repository
To use the EEG server, clone the repository, navigate to the eeg-server directory, initialize a Python environment with uv, and install dependencies (mcp[cli] and mne). Then configure the server in Claude Desktop by adding the appropriate command and directory paths to claude_desktop_config.json. Claude Desktop will start the server automatically when needed, or you can run it manually via the command in the configuration.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp servers to handle multimodal medical data": {
"multimodal-medical-mcp-servers": {
"command": "uv",
"args": [
"init"
]
}
}
}
}McpServers
{
"multimodal-medical-mcp-servers": {
"command": "uv",
"args": [
"init"
]
}
}MCP servers to handle multimodal medical data
(Example below)
EEG Server Setup Instructions
This document provides instructions for setting up and configuring the EEG server.
Prerequisites
- Python environment (Anaconda recommended)
- uv package manager installed in your Python environment.
Installation
1. Navigate to the server directory:
Open your terminal and change to the eeg-server directory:
cd path/to/your/multimodal-medical-mcp-servers/eeg-server
Replace
path/to/your/ with the actual path to the multimodal-medical-mcp-servers directory on your system.
2. Initialize the environment and install dependencies:
Use uv to set up the environment and install the required Python packages:
uv init
uv add mcp[cli] mne
Configuration for Claude Desktop
To use this EEG server with Claude Desktop, you need to add its configuration to your claude_desktop_config.json file. This file is typically located in your user's application data directory.
1. Locate or create claude_desktop_config.json.
2. Add the following JSON configuration block:
{
"mcpServers": {
"eeg-server": {
"command": "C:\\Users\\{user}\\anaconda3\\envs\\mcp\\Scripts\\uv.exe",
"args": [
"--directory",
"C:\\Users\\{path to folder}\\multimodal-medical-mcp-servers\\eeg-server",
"run",
"server.py"
]
}
}
}
Important Placeholders:
Replace {user} with your Windows username (e.g., C:\Users\YourUserName\...).
Replace {path to folder} with the full path to the directory where you cloned or placed the multimodal-medical-mcp-servers repository (e.g., C:\Users\YourUserName\Documents\Projects).
Running the Server
Once configured in claude_desktop_config.json, Claude Desktop should be able to start the EEG server automatically when needed.
If you need to run the server manually for testing or development, you can execute the command specified in the configuration directly in your terminal (ensure you are in an environment where uv is available):
C:\Users\{user}\anaconda3\envs\mcp\Scripts\uv.exe --directory C:\Users\{path to folder}\multimodal-medical-mcp-servers\eeg-server run server.py
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