Excel Data Manager
Summary
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.
Available Actions(10)
read_excel
Read Excel files in various formats.
get_excel_info
Get details about the specified Excel file.
get_sheet_names
List the names of worksheets in the Excel file.
analyze_excel
Perform statistical analysis on the data in the Excel file.
filter_excel
Filter data in the Excel file based on specified conditions.
pivot_table
Create pivot tables from the data in the Excel file.
data_summary
Generate a comprehensive summary of the data in the Excel file.
export_chart
Generate various types of charts (line, bar, scatter, histogram) from the Excel data.
write_excel
Write new data to an Excel file.
update_excel
Update existing data in an Excel file.
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