Access and extract data from Excel workbooks using a Model Context Protocol server.
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This powerful Model Context Protocol (MCP) server facilitates seamless interaction with Excel workbooks (.xlsx files). Built upon FastMCP and openpyxl, it allows programmatic access to workbook contents. Developers and AI agents can leverage its capabilities to list sheets, identify named tables and pivot tables, read raw cell data, extract structured table data, and export sheets to various formats like CSV, plain text, or Markdown, either to files or returned directly inline.
Key Features
01List all sheets, named tables, and pivot tables within a workbook
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03Extract structured data (headers + rows) from named Excel tables
04Export any sheet to CSV with configurable delimiters
05Read raw cell data from any sheet or specified cell range
06Export any sheet to plain-text delimited files or padded Markdown tables
Use Cases
01Integrating Excel data with AI agents (like Claude) for analysis, querying, and interaction.
02Automating the conversion and export of Excel sheet data into CSV, text, or Markdown for reporting, ETL, or further processing.
03Programmatically extracting specific data points, ranges, or entire tables from Excel files.
