"How to read content from a Word document" matching MCP servers:

A local MCP server for academic Word document processing, supporting real MathType OLE objects and Word REF/bookmark cross-references.

Enables creating word alignment visualizations between sentences and their translations, returning shareable links and preview images.

Vocabulary intelligence MCP server — 162K words, 47 languages, definitions, IPA pronunciation, etymology, translations, and daily lessons. 19 tools for AI agents.

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.

Connects AI assistants to authentic Islamic content including Qur'an, Hadith, and resources in multiple languages via over 80 tools.

A Model Context Protocol server that provides AI-driven tools to categorize, tag, and optimize educational content using GPT-4.

recite

Provides read-only access to Librus parent account data for multiple children, enabling retrieval of grades, attendance, timetable, calendar, homework, announcements, messages, and attachments via MCP.

Provides access to API Ninjas Random Word API to generate random words by type (noun, verb, adjective, adverb) for creative writing, games, and language learning applications.

Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.

Enables learning and integration testing of the Model Context Protocol by evolving from a minimal server toward production-grade tools, resources, prompts, and agent interoperability.

Provides full-text search and context retrieval from university course materials (PDF, PPTX, DOCX) offline after indexing.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

Enables the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Generates quizzes from Markdown content and outputs interactive HTML and Word documents.

MCP server that exposes a university course catalog to LLMs, enabling course search, prerequisite lookup, instructor details, and department directory through natural language.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.