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Supports multiple sheets within a single workbook with independent read operations per sheet.","intents":["I need to read data from an Excel file and make it available to an LLM agent without manual file parsing","I want to enumerate all sheets in a workbook and extract specific ranges of cell data programmatically","I need to preserve cell formulas and formatting metadata when reading Excel data into a structured format"],"best_for":["LLM agents that need to analyze or process spreadsheet data as part of a workflow","Teams building automation that bridges Excel and AI-driven decision making","Developers integrating spreadsheet data into MCP-based tool chains without writing custom parsers"],"limitations":["No support for Excel VBA macros or dynamic array formulas — only static cell values and standard formulas","Large files (>50MB) may cause memory pressure in Node.js process; no streaming parser","Formatting metadata (colors, fonts, borders) may be partially or fully lost depending on underlying library","No support for Excel tables, named ranges, or pivot tables — only raw cell data"],"requires":["Node.js 14+ (MCP server runtime)","MS Excel file in .xlsx or .xls format accessible to server process","MCP client capable of invoking tool/resource endpoints"],"input_types":["file path (string)","sheet name (string)","cell range (A1 notation or row/column indices)"],"output_types":["JSON object with cell values","structured metadata (sheet names, dimensions)","formula strings (if preserved by parser)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-negokazexcel-mcp-server__cap_1","uri":"capability://data.processing.analysis.excel.file.write.with.cell.level.updates.and.sheet.creation","name":"excel file write with cell-level updates and sheet creation","description":"Writes data to MS Excel files by accepting cell updates (value, formula, formatting) and sheet creation requests via MCP protocol. Loads existing workbooks into memory, applies mutations (cell writes, new sheets), and persists changes back to disk using the same underlying Excel library. 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Handles MCP message framing (stdio or HTTP transport), tool discovery, argument validation against schemas, and response serialization. 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Parses Excel file structure to extract sheet definitions without loading full cell data, enabling fast discovery of available sheets. Returns structured metadata that allows agents to understand workbook layout before performing targeted read operations, reducing unnecessary data transfer and improving query efficiency.","intents":["I want to list all sheets in an Excel file to understand its structure before reading specific data","I need to know the dimensions of a sheet (used range) to construct appropriate cell range queries","I want to programmatically discover which sheets exist in a workbook without manual inspection"],"best_for":["Agents that need to explore Excel workbook structure dynamically","Workflows that process multiple sheets with different schemas","Tools that generate Excel queries based on discovered sheet metadata"],"limitations":["Metadata may be stale if workbook is modified externally between reads","Hidden sheets are enumerated but not distinguished from visible sheets","Sheet order in workbook is preserved but not exposed as explicit index","No access to sheet-level properties (protection, visibility, tab color)"],"requires":["Node.js 14+ with Excel library support","Valid Excel file accessible to server"],"input_types":["file path (string)"],"output_types":["array of sheet metadata objects (name, dimensions, used range)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-negokazexcel-mcp-server__cap_4","uri":"capability://data.processing.analysis.cell.range.query.with.flexible.addressing","name":"cell range query with flexible addressing","description":"Extracts data from contiguous or non-contiguous cell ranges using A1 notation (e.g., 'A1:C10', 'A1,C1:C5') or row/column index tuples. Parses range specifications into cell coordinates, retrieves values from workbook, and returns as 2D arrays or object arrays with column headers. 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