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write_excel

Export CSV or JSON data to Excel files with customizable sheet names for structured data storage and analysis.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
dataYes
sheet_nameNoSheet1
formatNocsv

Implementation Reference

  • The main handler function for the 'write_excel' tool. Decorated with @mcp.tool(), it reads input data as CSV or JSON into a pandas DataFrame and writes it to the specified file_path in Excel, CSV, TSV, or JSON format based on the extension. Returns success or error message.
    @mcp.tool() def write_excel(file_path: str, data: str, sheet_name: Optional[str] = "Sheet1", format: Optional[str] = "csv") -> str: """ 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 """ try: if format.lower() == 'csv': df = pd.read_csv(io.StringIO(data)) elif format.lower() == 'json': df = pd.read_json(io.StringIO(data)) else: return f"Unsupported data format: {format}" _, ext = os.path.splitext(file_path) ext = ext.lower() if ext in ['.xlsx', '.xls', '.xlsm']: df.to_excel(file_path, sheet_name=sheet_name, index=False) elif ext == '.csv': df.to_csv(file_path, index=False) elif ext == '.tsv': df.to_csv(file_path, sep='\t', index=False) elif ext == '.json': df.to_json(file_path, orient='records') else: return f"Unsupported output file extension: {ext}" return f"Successfully wrote data to {file_path}" except Exception as e: return f"Error writing data: {str(e)}"
  • The @mcp.tool() decorator registers the write_excel function as an MCP tool.
    @mcp.tool()

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