What are the required dependencies?
FastMCP, Pydantic, and platform-specific libraries: pywin32 and WMI on Windows only.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"calebmwelsh_file-system-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
It's a file system management server built with FastMCP that provides a comprehensive set of tools for file and directory operations. Designed for integration with AI assistants like Claude, it enables automated file management through a structured API.
Clone the repository, create a virtual environment, and install dependencies with pip install -r requirements.txt. For Claude integration, add the server to claude_desktop_config.json using the absolute paths to your Python executable and the fs_server.py script.
FastMCP, Pydantic, and platform-specific libraries: pywin32 and WMI on Windows only.
Add a entry to `claude_desktop_config.json` with the `command` pointing to your Python executable and `args` containing the path to `fs_server.py`. Example for Windows: `"command": "C:\\Users\\YourUsername\\...\\python.exe"`, `"args": ["C:\\Users\\...\\fs_server.py"]`.
The `delete_file` function may fail in some cases, and `list_drives` may not detect all drives correctly. Windows-specific features are unavailable on macOS/Linux.
Collections are stored in a user-specified directory. If no location is given, they default to `data/collections` within the project folder.
Yes, basic file and directory operations are supported. Windows-specific features (drive listing, special folders, detailed system info) are not available on macOS/Linux.
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