What file formats does MCP Excel Reader support?
It supports .xlsx and .xls files.
MCP Excel Reader
@ArchimedesCrypto
Basic information
About MCP Excel Reader
A Model Context Protocol (MCP) server for reading Excel files with automatic chunking and pagination support. Built with SheetJS and TypeScript.
MCP Excel Reader config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"excel-reader-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@ArchimedesCrypto/excel-reader-mcp-chunked",
"--client",
"claude"
]
}
}
}MCP Excel Reader tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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
Frequently asked questions
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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