Word Document MCP Server
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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
- 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
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to create, read, and manipulate Microsoft Word documents with rich editing capabilities.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to create, read, edit, and analyze Microsoft Word documents through a standardized protocol, covering headings, paragraphs, lists, images, tables, styling, footnotes, comments, document protection, and PDF conversion. It also supports advanced manipulation such as inserting content relative to existing text, search-and-replace, custom styles, and detailed table and cell formatting.227 PyPIMIT
- AlicenseCqualityBmaintenanceEnables AI agents to create, read, and edit Word documents with tracked changes, comments, and template manipulation, including bulk text replacement and paragraph-level operations.100MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to directly read, edit, and manipulate Word documents, supporting image and table operations, paragraph editing, and search/replace.202MIT
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose targeting specific document operations, such as adding different elements (bullet list, heading, table), applying formatting, or managing the document lifecycle. There is no overlap that would cause confusion—for example, add_bullet_list and add_numbered_list are clearly differentiated by list type, and apply_text_formatting is separate from content addition tools.
All tool names follow a consistent verb_noun pattern using snake_case, such as add_paragraph, apply_text_formatting, and save_document. This uniformity makes the set predictable and easy for agents to understand and navigate without any deviations in style or convention.
With 10 tools, the server is well-scoped for a Word document manipulation domain, covering core operations like creation, editing, formatting, and saving. Each tool earns its place by addressing a specific need without being excessive or insufficient for typical document workflows.
The tool set provides comprehensive coverage for basic document creation and editing, including CRUD-like operations (create, add, save) and utilities like find_and_replace. A minor gap is the lack of tools for deleting or modifying existing elements (e.g., remove_paragraph or edit_table), but agents can work around this using available tools for most tasks.