"Reading and Writing Word Files" matching MCP servers:

On-premises knowledge retrieval over the Markdown, text, PDF, Word and Excel files an organization keeps, with the rules you set enforced before anything is retrieved. Agents connect over MCP, get cited passages, and read from it and never write to it.

Enables full-featured editing of Word .docx files through natural language, including merge-aware table operations, bulk cell edits, footnotes/endnotes, TOC management, tracked changes, and document comparison.

Enables reading and writing to your local Anki collection through AnkiConnect, allowing creation, update, and search of notes and decks from MCP clients like Claude Desktop.

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

Enables AI agents to query and browse Norton Guide database files, providing tools for reading entries, searching, and navigating menus.

Word tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

Enables reading and writing YNAB budget data, such as listing budgets, accounts, categories, transactions, and creating or updating transactions, through natural language commands.

Enables reading and writing WiseGrid sheets, including listing sheets, paginating rows, adding and updating records, and running reports, all from an MCP client with API key authentication.

Enables Japanese word lookup and search using the Jisho.org dictionary, providing tools to search entries and retrieve exact word definitions with JLPT levels and parts of speech.

Converts Markdown files to Word (.docx) and PDF documents. Supports .dotx templates for branded styling and batch conversion.

Memory-efficient MCP server for reading and splitting large PDF files page by page using PyMuPDF.

Enables listing image files in a directory and reading their content as base64 for display.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

Provides a lightweight personal knowledge base MCP server that compiles raw materials into interconnected Wiki pages, with hybrid search (BM25, optional vector, link expansion) and tools for querying, reading, writing, and ingesting content.

Provides a tool to calculate basic text metrics including character count, characters without spaces, and word count.

Gives coding agents structured code understanding via tree-sitter with 23 tools and 10 languages, enabling precise queries instead of reading entire files.

Enables AI agents to control SimInTech dynamic modeling environment via COM API, including creating projects, configuring and connecting blocks, running simulations, and reading/writing signals.

Enables management of Antigravity IDE skills and configuration through MCP tools, including listing, reading, searching, installing, and deleting skills, plus reading/writing config.json and provider settings.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

MCP server that exposes an Obsidian-style markdown vault as a shared memory for AI agents, with tools for searching, reading, writing, and querying notes and wiki-links.