"Monitor GitLab notifications and respond to mentions" matching MCP servers:

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

A set of tools enabling AI agents to interact with Canvas LMS, allowing users to find relevant resources, get course information, and navigate modules through natural language queries.

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.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

A server for querying, practicing, and analyzing exam questions from Taiwan's national examinations, offering 20 tools including search, statute lookup, weak topic review, and readiness assessment.

Enables bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

Enables students to access Moorle courses, assignments, grades, announcements, and notifications through authenticated MCP tools.

Enables authenticated access to Yonsei LearnUs course activities, assignments, schedules, announcements, notifications, video learning status, and course materials through local stdio tools.

A local stdio MCP server that lets students query their HSE (NIU VShE) accounts: SmartLMS courses, materials, assignments, grades and internal messages, plus the ELK personal cabinet — schedule, academic record, services, requests and notifications. It also assembles day/week summaries, deadline alerts and change tracking, with optional write tools for submitting assignments kept off by default.

Enables users to interact with the University of Tokyo's UTOL learning management system through natural language, providing access to courses, assignments, deadlines, notifications, and materials via MCP clients like Claude Desktop.

Provides MCP tools for querying student portal data such as attendance, courses, timetables, results, hostel details, passes, notifications, and help requests, plus a gated outpass filing operation.

Enables MCP-capable AI clients to search SJTU course.sjtu.plus courses, teachers, and reviews, inspect followed, ignored, and enrolled records plus community points, and, after explicit confirmation, publish or manage reviews, votes, and course notifications through the official user API.

Enables AI assistants to track Physics Wallah lecture schedules, manage backlog, monitor progress, and generate personalized study plans through natural language.

Provides read-only access to Indus LMS academic data, letting agents browse courses, announcements, assignments, shared resources, notifications, attendance records, and school email inboxes. It exposes these capabilities as MCP tools over stdio, with no login, mark-read, or submission operations.

Enables controlled browser-assisted learning workflows on course portals, including account/session observation, chapter navigation, quiz and exam review, video/media inspection, deadline and wrong-question tracking, and optional email notifications. It enforces review evidence and preserves blocked or unverified states rather than bypassing verification.

Provides an educational overview of MCP architecture, tools, resources, and prompts, and explains how to build, connect, and deploy MCP servers.

Enables AI assistants to connect directly to Saigon University's academic portal for natural-language queries about schedules, exams, grades, GPA simulation, tuition, course offerings, notifications, and graduation progress.

Enables users to monitor their courses for new posts, changed instructions, and due dates, search downloaded documents, and automatically sync new or changed files into course folders.

An MCP server that enables AI assistants to access and interact with Google Classroom data, allowing users to view courses, course details, and assignments through natural language commands.

Enables students and educators to connect ChatGPT, Claude, or another MCP client to the Skyward account they are already authorized to use, through a self-hosted deployment they control. It exposes read-only tools for report cards, gradebooks, academic history, attendance, schedules, test scores, fees, and graduation requirements.

MCP server that lets Claude send documents, drills, and choices to an e-reader (Kindle, Kobo, etc.) in real time via a Cloudflare Worker, supporting anonymous and OAuth-authenticated access.

Enables ChatGPT to deliver interactive educational exercises with server-side session management, answer validation, justifications, and learning summaries via MCP.

MCP for https://chhart.app to easily create flowcharts or sankey diagram

Connects Canvas LMS (and other school platforms) to AI agents, enabling them to monitor assignments, grades, announcements, and changes, then rank work, brief students, or build study plans via MCP tools.

Enables an LLM to act as a quiz master by generating and saving quiz questions, then issuing tests and recording results for long-term tracking and analysis. This lets users identify weak points and monitor progress over time.

Enables Alexa+ to coach students through algebra homework by verifying each step with a computer algebra system, providing hints and feedback without revealing answers.

MCP server to query Cloud Champion's training catalog. Enables AI agents to search, filter, and get statistics about Microsoft partner resources like webinars, videos, learning paths, and podcasts.

Connects any MCP-compatible AI assistant to a student's Moscow Technological Institute portal (lms.mti.moscow) over stdio or HTTP. Enables reading schedules, courses, assignments, grades, notifications, messages, curriculum and finance data, and safely submitting coursework with dry-run confirmation.

Enables any MCP client to surface twelve structured thinking frameworks for clarifying questions, learning, problem-solving, decision-making, and self-reflection, with fillable slash commands for humans and programmatic retrieval for agents.

Exposes 42's intranet API via the Model Context Protocol, enabling LLM agents to access user information, projects, and campus data.