"A server for filesystem operations using MCP protocol" matching MCP servers:

A basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

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.

Enables Claude Desktop users at the University of Ghana to read their own Sakai courses through safe, read-only tools — checking deadlines, announcements, calendars, assignments, feedback and grades, and extracting text and page images from lecture slides for study, planning and revision.

Enables AI assistants to directly manage Anki flashcards, decks, notetypes, tags, and media, with support for batch operations, searches, and deck exports via file-based input/output.

An MCP server that provides access to Stern, a philosophical AI mentor combining rationalist thinking with stoic philosophy to guide users through personalized mentorship and smart contract accountability on Solana.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

Enables AI apps to read a student's courses, due dates, grades, missing work, announcements, modules, discussions, syllabus, and calendar events in a read-only way. It cannot submit, edit, or delete anything, and credentials go only to the user's own school.

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.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.

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