"Tools and Methods for Editing DOCX Files" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

Legal document redlining engine that applies AI-generated JSON changes as professional tracked changes with comments in .docx files, producing Word-indistinguishable output.

An MCP server for reading, editing, and validating Microsoft Word documents with specialized support for track changes, comments, and footnotes. It enables structural auditing, heading extraction, and precise OOXML-level document manipulation through natural language tools.

Enterprise-grade document editing and management server that enables AI-powered operations on Microsoft Word DOCX files, including creating, editing, formatting, and exporting documents through both MCP protocol and RESTful API.

Enables comprehensive Microsoft Word document manipulation through the Model Context Protocol, with advanced table operations including creation, data management, formatting, and bulk operations. Supports document creation, editing, and saving with plans for full document content management.

Enables local .docx files to be managed with verified writes, returning before/after evidence for every mutation, plus PDF export and lock/sync status checks.

Provides comprehensive read/write access to Word documents, including comments, track changes, and reply threads.

Bidirectional Markdown ↔ Word (.docx) converter. Read Word documents directly into Claude as Markdown, or save Claude's output as a properly formatted .docx with heading styles (Title, Heading 1–9), bold, italic, tables, lists, code blocks, and images. No cloud upload — runs entirely on your machine using python.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

AI-powered video editing toolkit: scene splitting, subtitle generation, thumbnail planning, color grading, and aspect ratio conversion.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

Enables 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.

Enables AI agents to read, edit, and create Microsoft Word documents (.docx) with support for rich text, tables, and images, deployable locally or via SSE.

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

A Model Context Protocol (MCP) server that learns from your video editing behavior and provides intelligent assistance for film and television post-production workflows.

Upload, edit, and generate videos from everyone's favorite LLM and Video Jungle.

A FastMCP-powered microserver that allows users to programmatically generate well-formatted .docx documents with consistent styling, including features like titles, paragraphs, headings, citations, and footers.

A Word document processing MCP server that exposes a single tool (docx_process) routing to 63 operations covering creation, editing, formatting, and querying, with on-demand skill loading for context efficiency.

Enables AI agents to create, read, and edit Word documents with tracked changes, comments, and template manipulation, including bulk text replacement and paragraph-level operations.