MCP.so
ログイン

MCP Excel Reader

@ArchimedesCrypto

MCP Excel Reader について

A Model Context Protocol (MCP) server for reading Excel files with automatic chunking and pagination support. Built with SheetJS and TypeScript.

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

ArchimedesCrypto

設定

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": {
    "excel-reader-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@ArchimedesCrypto/excel-reader-mcp-chunked",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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。

概要

What is MCP Excel Reader?

MCP Excel Reader is a Model Context Protocol (MCP) server for reading Excel files (.xlsx, .xls) with automatic chunking and pagination support. Built with SheetJS and TypeScript, it helps AI assistants and developers handle large Excel files efficiently by breaking them into manageable chunks.

How to use MCP Excel Reader?

Install the server globally via npm install -g @archimdescrypto/excel-reader or use Smithery for Claude Desktop. Add the server to your MCP settings file (e.g., ~/.config/claude/settings.json). Then invoke the read_excel tool with parameters filePath, sheetName, startRow, and maxRows to read Excel data.

Key features of MCP Excel Reader

  • Read Excel files with automatic size limits
  • Automatic chunking for large datasets
  • Sheet selection and row pagination
  • Proper date handling
  • Optimized for large files
  • Error handling and validation

Use cases of MCP Excel Reader

  • AI assistants reading large Excel spreadsheets piece by piece
  • Extracting data from specific sheets in multi-sheet workbooks
  • Paginating through rows of a large dataset without loading everything
  • Integrating Excel data into model context for AI-powered analysis

FAQ from MCP Excel Reader

What file formats does MCP Excel Reader support?

It supports .xlsx and .xls files.

How does chunking work?

The server automatically splits large files into chunks (default 100KB) and provides metadata for pagination, including hasMore and nextChunk information.

Can I read a specific sheet?

Yes, use the sheetName parameter. If not specified, it defaults to the first sheet.

What is the default chunk size?

The default chunk size is 100KB.

Is it safe to use with large files?

Yes, the server is optimized for large files with automatic chunking to prevent memory issues.

コメント

「その他」の他のコンテンツ