MCP Excel Server provides a robust interface for Excel file operations and data analysis through the Model Context Protocol. Developed by yzfly, it enables AI assistants to read, write, and analyze Excel files in various formats (XLSX, CSV, TSV, JSON), offering tools for statistical analysis, data filtering, pivot table creation, and visualization through charts and plots. The server leverages pandas, numpy, matplotlib, and seaborn to perform operations like summary statistics, data quality assessment, and visualization export, making it particularly valuable for data analysis workflows where users need to extract insights from spreadsheets without manual manipulation.
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Read Excel files in various formats.
Get details about the specified Excel file.
List the names of worksheets in the Excel file.
Perform statistical analysis on the data in the Excel file.
Filter data in the Excel file based on specified conditions.
Create a pivot table from the data in the Excel file.
Generate a comprehensive summary of the data in the Excel file.
Generate charts from Excel data, supporting line charts, bar charts, scatter plots, and histograms.
Write new data to an Excel file.
Update existing data in an Excel file.
