MCP Excel Server
Skills
read_excel
Read an Excel file and return its contents as a string. Args: file_path: Path to the Excel file sheet_name: Name of the sheet to read (only for .xlsx, .xls) nrows: Maximum number of rows to read header: Row to use as header (0-indexed) Returns: String representation of the Excel data
write_excel
Write data to an Excel file. Args: file_path: Path to save the Excel file data: Data in CSV or JSON format sheet_name: Name of the sheet (for Excel files) format: Format of the input data ('csv' or 'json') Returns: Confirmation message
update_excel
Update an existing Excel file with new data. Args: file_path: Path to the Excel file to update data: New data in CSV or JSON format sheet_name: Name of the sheet to update (for Excel files) format: Format of the input data ('csv' or 'json') Returns: Confirmation message
analyze_excel
Perform statistical analysis on Excel data. Args: file_path: Path to the Excel file columns: Comma-separated list of columns to analyze (analyzes all numeric columns if None) sheet_name: Name of the sheet to analyze (for Excel files) Returns: JSON string with statistical analysis
filter_excel
Filter Excel data using a pandas query string. Args: file_path: Path to the Excel file query: Pandas query string (e.g., "Age > 30 and Department == 'Sales'") sheet_name: Name of the sheet to filter (for Excel files) Returns: Filtered data as string
pivot_table
Create a pivot table from Excel data. Args: file_path: Path to the Excel file index: Column to use as the pivot table index columns: Optional column to use as the pivot table columns values: Column to use as the pivot table values aggfunc: Aggregation function ('mean', 'sum', 'count', etc.) sheet_name: Name of the sheet to pivot (for Excel files) Returns: Pivot table as string
export_chart
Create a chart from Excel data and return as an image. Args: file_path: Path to the Excel file x_column: Column to use for x-axis y_column: Column to use for y-axis chart_type: Type of chart ('line', 'bar', 'scatter', 'hist') sheet_name: Name of the sheet to chart (for Excel files) Returns: Chart as image
data_summary
Generate a comprehensive summary of the data in an Excel file. Args: file_path: Path to the Excel file sheet_name: Name of the sheet to summarize (for Excel files) Returns: Comprehensive data summary as string