Excel MCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI agents to create, read, and manipulate Excel files without requiring Microsoft Excel installation. Supports comprehensive spreadsheet operations including formulas, formatting, charts, pivot tables, and data validation.MIT
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to create, read, write, and manipulate Excel files (.xlsx, .xlsm) without requiring Microsoft Excel, including support for charts, pivot tables, data import/export, and professional formatting across Windows, macOS, and Linux.19 npm33MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI clients to directly read and write Excel files, including reading structure, writing formulas and data, and diagnosing errors.MIT
- AlicenseNot gradedqualityDmaintenanceEnables manipulation of Excel files including creating, reading, writing data, formatting, charts, pivot tables, and worksheet management via natural language.8 npmMIT
TDQS
Scored across 74 tools
Each tool targets a specific Excel operation or resource (e.g., charts, comments, ranges, sheets) with no apparent overlap. The descriptions clearly differentiate similar actions like reading cells at different granularities.
Most tools follow a consistent verb_noun pattern (add_chart, delete_rows, set_font). Minor deviations like 'define_named_range' and 'format_as_table' do not break the overall predictability.
74 tools is far beyond the typical 3-15 range for a well-scoped server. While Excel is complex, this volume risks overwhelming users and agents, and many tools could be consolidated.
The tool set covers a wide range of Excel operations including CRUD, formatting, charts, data validation, macros, and exports. Minor gaps like pivot tables are understandable given the scope.