"Microsoft 365 MCP Server by Softeria AS" matching MCP servers:

Enables users to compute symbolic derivatives and integrals, including definite and improper cases, and verify antiderivatives through SymPy-backed MCP tools.

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.

Enables AI assistants and terminal users to authenticate with standard user credentials and interact with Teams chats, coursework, assignments, email search, files, and meeting transcripts.

Search Japanese onomatopoeia by scene, not by spelling. 161 entries with nuance explained in Japanese and English. Fully offline MCP server, no API key required.

Rabbithole provides an infinite canvas for learning by allowing users to open documents, select text, ask questions, and receive answers that open as child documents, all running locally via an MCP server.

Every FIFA World Cup since 1930 wrapped as 15 MCP tools — squads, brackets, stadiums, matches, awards, trivia. Powered by the Zafronix WC API.

Enables integration with LeetCode APIs to retrieve problems, contests, solutions, and user data, support daily challenges and advanced searches, and perform authenticated actions such as running or submitting code and managing notes.

Provides automated grammar checking by intercepting user input and returning correction instructions for MCP-compatible clients like Claude Desktop and Claude Code.

Enables AI agents to search and retrieve opportunities from the Opportunities Circle catalog, including scholarships, fellowships, internships, grants, jobs, and more. Supports filtering by type, country, funding, and tags, with full details and official apply links.

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.

Enables LLM clients to perform arithmetic and advanced calculations through MCP tools, access math constants and session calculation history, and receive step-by-step guidance for solving equations.

Enables users to fetch a week's activities for a class from the Adalove academic platform as formatted markdown, with optional filters for week number, class, and detail level.

Enables LLM clients and agents to produce realistic synthetic medical referral letter PDFs — a German Überweisungsbrief/Arztbrief or the same letter in another language — either from structured JSON with deterministic, seeded rendering or from a free-text description written by a configured LLM. Each call returns the finished PDF as an embedded resource plus the completed letter content and its seed as structured data.

Enables users to search XJTLU past exam papers by course code, read details such as academic year, semester, and regular versus resit type, and save the chosen PDFs to local folders after logging in with their own school account. Runs as a local stdio MCP server for Codex and DeepSeek Harness, returning metadata and file paths only.

Enables read-only querying of Moodle as a student, including courses, assignments, grades, forums, and files, using a personal web services token.

MCP server that wraps UDIR's open registries for Norwegian schools (NSR) and kindergartens (NBR), enabling search by municipality and retrieval of full details including coordinates and enrollment.

Enables AI assistants to query HSE University's RUZ schedule API: find students, lecturers, groups, and rooms by substring, and retrieve a student's schedule by corporate email or a group's schedule by ID for 1–60 days ahead. Works without login or browser, though only from the HSE campus network or staff VPN.

Enables users to review Anki decks card by card, identify gaps such as missing verb forms or declensions, and apply approved edits through natural language conversation.

Enables deep access to UFRPE's SIGAA system, providing tools for login, retrieving raw HTML, making custom requests, downloading files, and accessing parsed academic data such as grades, classes, and curricula.

Enables AI agents to manage tutoring workflows by listing students, tracking progress, logging session notes, assigning homework, and generating parent-friendly progress reports through natural language.

Enables Claude to query DataGSM's student, club, meal, and schedule data, as well as search documentation and guide OAuth flows.

An MCP server that exposes certifications, projects, and an AI engineering learning roadmap as callable tools for MCP clients like Claude Desktop.

Enables MCP clients to teach on a view-only local browser chalkboard by drawing equations, plots, molecules, diagrams, and science illustrations step by step, with snapshots and saved lessons.

Enables MCP-capable AI clients to look up guitar chord charts from Guitar Practice Routine App and receive them as both text diagrams and PNG images.

Enables users to find free legal textbook copies by title, ISBN, or course topic across OpenStax, DOAB, and Open Library, look up ISBN edition details, browse free textbooks by subject, and identify older editions that may cost less.

Read-only MCP server for Canvas LMS that works without API tokens by using session cookies, enabling AI assistants to access courses, assignments, grades, announcements, and more.

Read-only server that lets an AI assistant browse published LibGuides research guides — full page content as clean markdown, guide subjects, the A-Z database list, and public subject-librarian profiles — through the Springshare LibApps API v1.2. It exposes only public content, replacing emails by default and keeping credentials private.

Provides pet nutrition tools for AI agents, enabling cup-to-grams conversion, RER/MER calorie calculations, and ideal weight lookup by breed with source URLs.

Enables MCP clients to query sourced phonics and sight word lists by grade, language, section, or spelling pattern, and to retrieve full lists, placement rationale, citations, and CSV/JSON downloads.

Enables AI tutors to maintain durable, local-first learning state by modeling goals as prerequisite-aware knowledge trees, reusable concepts, and evidence-gated mastery.