"Multi-Agent Systems with Shared Memory Storage" matching MCP servers:

This MCP server enables Claude to create and control shared timers, polls, and quizzes on the '모두의 타이머' platform.

MCP server that connects AI assistants to Instructure Canvas LMS, enabling teachers and administrators to manage courses, assignments, grades, and more through natural language.

MCP server that reads Korean school class and teacher timetables from Comci's public schedules, detects schedule changes, and exposes structured data via CLI, local REST, and MCP stdio.

Enables any MCP client to access the Panaversity Agent Factory System of Record curriculum, with login handling and tools for searching, outlining, and reading lessons.

A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.

MCP server that exposes an Italian textbook's OCR content, structured exercises, and progress tracking, enabling chatbot agents to interact with the book for language learning.

Enables automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

Enables developers to compare their code predictions against AI-generated implementations, log misconceptions, and receive spaced-repetition learning feedback to guide their understanding of gaps.

Enables interaction with Gmail, Google Drive, and Google Classroom through FastMCP, providing tools for reading emails, managing files, and listing courses.

Enables a conversational goal-setting flow for college and career coaching, exposing tools to save and retrieve goals and open a goal planner, with recommendations sourced from Career Coach MCP.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

Enables interview preparation by analyzing resumes and job descriptions, generating role-specific questions, and evaluating answers using MCP tools integrated with an OpenAI agent.

A local MCP server that helps you maintain a personal Japanese learning knowledge base, including vocabulary, confusion relations, mistakes, and spaced-repetition reviews. It provides tools and prompts for managing and reviewing your Japanese learning data without calling external LLM APIs.

MCP server suite that lets coding agents generate deep instructional content from external sources and operate classroom-interactive EdTech platforms including Padlet, Google Classroom, Kahoot!, Wayground, Wordwall, and Nearpod.

Enables AI agents to securely access a guardian's SchoolSoft data—such as schedules, lunch menus, assignments, news, and subjects—using a BankID-authenticated session without exposing credentials.

A local DOCX formatter for theses and papers that also provides an optional MCP server with tools for formatting, extracting rules, and scoring papers.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

Provides coding tutoring by running checks for common programming tasks (palindrome, prime, Fibonacci, GCD, etc.) and explaining the results in plain language.

Enables local Stockfish-powered chess game analysis, mistake classification, puzzle finding and generation, and study-resource recommendations through MCP tools.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.