What are the prerequisites for running the server?
You need a Python environment (Anaconda recommended) and the `uv` package manager installed. The server also requires `mcp[cli]` and `mne` Python packages.
@Ketansuhaas
基本信息
Process and prepare your multimodal medical data with natural language!
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"multimodal-medical-mcp-servers": {
"command": "uv",
"args": [
"init"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP servers to handle multimodal medical data is a collection of Model Context Protocol (MCP) servers for medical data types. The currently documented server is an EEG server that enables AI assistants like Claude Desktop to interact with electroencephalography (EEG) data. It is intended for medical researchers and developers who need to integrate EEG analysis into AI workflows.
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_config.json.uv package manager for environment setup.You need a Python environment (Anaconda recommended) and the `uv` package manager installed. The server also requires `mcp[cli]` and `mne` Python packages.
Add a JSON block to `claude_desktop_config.json` specifying the `uv` executable path, the server directory, and the command `run server.py`. Replace placeholders with your actual username and folder paths.
Yes. Run the full uv command (including `--directory` and `run server.py`) from a terminal where `uv` is available. Be sure to replace the path placeholders.
The README provides examples for Windows paths (e.g., `C:\Users\{user}\...`), indicating Windows support. Other operating systems may work but are not documented.
The server uses MNE, a Python library for working with human neurophysiological data such as EEG, MEG, and iEEG.
Official MCP server for the Sugra API, giving AI agents source-attributed access to 1,500+ endpoints across 36 data domains from 160+ primary sources. Covers markets, economics, company fundamentals, government, news, cl

Read-only MCP server exposing verified data on Colombian companies by tax ID (NIT): public procurement (SECOP II, since 2000), business registry (RUES), NIIF financial statements, sanctions and OFAC/UN restrictive lists

Football club Power Ratings for AI assistants: weekly 442ball ratings, league strength, the 442 League Index, unbeaten and winning runs, and the greatest sides in a league's history. Every answer links to its 442ball.com

Табуля — таблица с ИИ, Python и SQL. MCP-сервер даёт Claude, ChatGPT, Cursor и другим агентам доступ к вашим таблицам: чтение и запись, формулы, Python и SQL, оформление и импорт. Tabulya is a spreadsheet with AI, Pytho
Texas RRC oil & gas wellbores: API numbers, completion dates, depth, plug status
评论