Transform receipt extraction results into a downloadable Excel workbook (XLSX). Provide receipt data to receive a Base64-encoded XLSX file for simplified data analysis and sharing.
Extract data from Excel sheets and convert to structured JSON with headers and typed rows. Specify sheet index and header presence for precise data extraction.
Fill Excel templates with data at named cells and ranges. Insert cell values and table data into .xlsx files, with optional formula recalculation. Ideal for automating spreadsheet generation.
Extract data from an Excel sheet and convert it to CSV text. Provide base64-encoded file, optional sheet index (0-based), and delimiter. Returns CSV content for easy data processing.
An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.
Load and analyze data files from local paths or URLs. Supports CSV, JSON, HTML, Excel, ODS, and Parquet formats, returning structured analysis results.
Convert a specified range into a structured table within an Excel sheet, enabling organized data management. Requires file path, sheet name, and table name for precise execution.
Format specific cell ranges in Excel sheets by applying custom styles, including borders, fonts, fills, and number formats, ensuring consistent and professional data presentation.
Extract and read values from specific Excel sheet ranges, enabling access to cell data, formulas, and styles for efficient data analysis and processing.
Extract and list sheet details from a specified Excel file using the Excel MCP Server. Ideal for retrieving essential sheet information to streamline data analysis and management.
Retrieve comprehensive details about 3GPP specifications including metadata, content, dependencies, and related information to support telecommunications standards development.
Inspect an Excel workbook to retrieve metadata including sheet names, row and column counts, and named ranges. Accepts a base64-encoded file and returns structured JSON.