What directories can the server access?
The server only allows operations within directories explicitly passed as arguments during configuration. Directories can be sandboxed by mounting; adding the `ro` flag makes them read-only.
@qianO33
基本情報
mcp excel server
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": {
"mcp-excel-server": {
"command": "npx",
"args": [
"-y",
"@qian33/mcp-excel-server",
"/path/to/allowed/dir"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
mcp-excel-server is a Node.js server that implements the Model Context Protocol (MCP) for reading, writing, and managing Excel files and other file operations. It is designed for use with MCP-compatible clients like Claude Desktop and VS Code, providing secure access to specified directories on the local filesystem.
Install via npm (npm install @qian33/mcp-excel-server). Configure the server in your client (e.g., Claude Desktop’s claude_desktop_config.json or VS Code’s user settings) with the npx or bunx command, passing allowed directories as arguments. The server exposes tools for reading/writing file contents, listing directories, and handling Excel files (local and online).
The server only allows operations within directories explicitly passed as arguments during configuration. Directories can be sandboxed by mounting; adding the `ro` flag makes them read-only.
Install the npm package globally: `npm install @qian33/mcp-excel-server`. Then configure your MCP client to run the server using npx or bunx.
Use the `get_excel_content` tool, providing the `path` (string) to the Excel file. The server reads UTF-8 encoded Excel files and returns the data.
Yes, use the `write_excel_content` tool with a `path` and JSON data (as a string or array of objects). The server creates or overwrites a workbook with a `Sheet1` worksheet.
Yes. Use the `get_online_excel_content` tool with a URL (`path`) to fetch and read Excel content from a remote server, returning the data as a JSON array.

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