"Adding functionality to large language models" matching MCP servers:

An MCP server for learning Swedish language, providing tools for vocabulary, grammar, translations, and practice exercises.

A language expression coach MCP server that provides native-sounding translations with cultural context, tone notes, and audio pronunciation for over 13 languages.

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.

Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.

Enables MCP clients to look up Bible verses, perform semantic search, and access original-language word study through a local Concord instance, providing accurate citations and honesty about uncertainty.

Enables querying Schoox LMS data (users, courses, enrollments, etc.) via natural language using AI assistants, without writing API code.

Provides Chinese figurative language lookup backed by CC-CEDICT, helping to verify whether a word or phrase has recorded figurative usage or is a one-off creative expression.

An MCP server that gives AI assistants complete, safe access to your Zotero library for searching, citing, adding papers, and formatting bibliographies, with local-first privacy.

Enables AI assistants to connect to D2L Brightspace and retrieve grades, assignments, announcements, and course content on demand via natural language, working across clients like Claude, ChatGPT, Cursor, and Windsurf.

A read/write MCP server that connects AI assistants to the OpenEMIS school management system, allowing natural-language queries and write operations across 678 resources and 3361 endpoints.

Enables Claude to speak in 70+ languages, including pronunciation, audio flashcards, and full language lessons with tutor personas.

Provides read-only access to Canvas LMS, enabling users to view active courses, grades, and upcoming assignments through natural language queries.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Enables natural-language querying of the British Columbia K-12 curriculum, including Big Ideas, Curricular Competencies, Content standards, grade progressions, and cross-subject connections, grounded in official BC Ministry of Education data.

MCP server for WirLernenOnline.de that enables searching and retrieving educational materials, collections, topic pages, and metadata through natural language, compatible with OpenAI and Claude.

Exposes USC's public course catalog API to AI agents, enabling natural-language queries about courses, GE requirements, schedules, and fees with optional filters for days, times, and open sections.

This MCP server enables AI agents to search and retrieve exact, cited passages from a large corpus of public-domain books, including full-text search, book metadata, chapters, quotes, and 'ask book' Q&A. Payments are handled via x402 micropayments on Base.

Provides spaced-repetition scheduling with the SM-2 algorithm as MCP tools, enabling agents to manage review items like flashcards or vocab locally. It supports adding, grading, and listing due items, plus optional pro features for export and forecast.

Manage a Japanese learning review queue backed by an Obsidian vault; allows reviewing due items, quizzing on mastered words, adding new grammar/vocab, and importing from Bunpro CSV.

An MCP server that gives desktop AI apps access to your Waterloo LEARN courses, enabling listing courses, getting announcements, content, grades, and upcoming events through natural language.