MCP Excel Reader

@ArchimedesCrypto

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

ArchimedesCrypto

关于 MCP Excel Reader

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

#excel-reader#excel-files#data-processing

MCP Excel Reader 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Excel Reader 工具

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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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