docx-mcp
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- AlicenseNot gradedqualityFmaintenanceEnables AI assistants to create, edit, and extract data from Microsoft Word documents programmatically, supporting document creation, content editing, table manipulation, parameter extraction, and template generation.1MIT
- AlicenseAqualityDmaintenanceProvides comprehensive read/write access to Word documents, including comments, track changes, and reply threads.91MIT
- FlicenseNot gradedqualityBmaintenanceEnables processing of Office documents (DOCX, XLSX, PPTX, PDF, Markdown) through 21 tools for reading, creating, editing, converting, comparing, and analyzing documents.-
- AlicenseCqualityDmaintenanceEnables creation, editing, and management of Word documents through JSON schema with support for rich content including text formatting, tables, images, code blocks, and lists. Provides comprehensive DOCX operations including opening existing documents, modifying content, and saving files to disk.1212 npm1MIT
- AlicenseBqualityNot gradedmaintenanceEnables AI assistants to create, read, and manipulate Microsoft Word documents with comprehensive formatting, table creation, content management, and document protection capabilities. Supports advanced operations like merging documents, PDF conversion, and rich text formatting through a standardized interface.32MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to create and manipulate Microsoft Word documents programmatically with support for rich text formatting, tables, lists, headings, and find-and-replace operations.106 npmMIT
TDQS
Scored across 24 tools
Most tools have distinct purposes targeting specific document elements (images, equations, lists, styles), though some overlap exists between write_docx/create_docx/append_docx for document creation/modification and between various list_* tools for different element types. Descriptions clarify boundaries well, but an agent might occasionally need to choose between similar tools.
Excellent consistency with a clear verb_noun pattern throughout (e.g., add_image_caption, apply_bullet_list, extract_images, list_equations). All tools use snake_case exclusively, with verbs accurately describing actions (add, apply, copy, create, delete, extract, fill, get, insert, list, read, set, write). No deviations or mixed conventions.
24 tools is borderline heavy for a document processing server, though the domain (Word document manipulation) is rich. Many tools are specialized (e.g., separate tools for bullet vs numbered lists, multiple image/equation tools), which could feel overwhelming but may be justified by the complexity of Word documents. A more consolidated design might reduce the count.
Extremely comprehensive coverage of Word document operations: full CRUD (create_docx, read_docx, write_docx, delete_docx), content manipulation (text, images, equations, lists, styles), metadata handling, merge fields, content controls, and utilities (copy, health_check). No obvious gaps; agents can perform complex document workflows without dead ends.