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.
MIT
187,338 tools. Last updated 2026-06-10 08:04
"How to Read an Excel File" matching MCP tools:
- 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.MIT
- 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.MIT
- Record or read session events documenting how TNL is used. Pass an event to record; omit to read.MIT
- Extract cell formulas, calculated values, or formatting details from Excel ranges in live workbooks or .xlsx files without Excel installed.MIT
- Read data from an Excel worksheet and retrieve cell values with validation rules. Supports specifying cell range and preview mode.PythonMIT
Matching MCP Servers
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- Extract data from Excel files by specifying file path, sheet name, row limits, and header configuration to convert spreadsheet content into readable text format.MIT
- Extract sheet names and headers from an Excel file and save them to a new template file.MIT
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- Clear the cached data for an Excel file by providing its absolute path. This forces the server to re-read the file on the next request.MIT
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- Retrieve all sheet names from an Excel file to identify available worksheets and navigate the workbook structure.MIT
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- Read content from Word, Excel, or PowerPoint documents, auto-detecting format from file extension, and output as JSON or markdown with optional scope for Excel ranges.