"A resource for finding infographics" matching MCP servers:

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.

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 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 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.

Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.

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.

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.

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

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 an AI assistant to browse a signed-in school-communication account's classes, chats and message streams, inspect and adjust notification preferences and delivery devices, and send messages to a chat or class. Write actions require explicit user confirmation, and a read-only GraphQL tool allows arbitrary queries for anything the built-in tools don't cover.

An unofficial MCP server for Cambridge's CamCORS system, enabling supervision report management through a Chrome browser.

Provides a small educational library MCP server that demonstrates core Model Context Protocol concepts through book search, checkout, resource reading, prompts, and tool annotations, enabling developers to explore MCP mechanics interactively.

A demo MCP server for training purposes, providing mocked tools for exchange rates, mortgage calculations, and branch information.

An MCP server for designing environmental education lessons using built-in Korean curriculum standards, resource catalogs, and full-text document search, enabling teachers to collaboratively plan lessons with AI without external subscriptions.

MCP server for the Datamuse API that enables word finding like synonyms, rhymes, autocomplete, and more.

Enables parents to search and inspect educational materials available in their own authorized SAS account, including catalog metadata, section and resource listings, personalized availability summaries, and private downloads of accessible unencrypted PDFs.

Enables AI apps to compute GPAs from courses and credits, convert between letter and percentage grades, determine the score needed on a final exam, analyze weighted course grades, and plan the GPA required for a target cumulative result.

Enables natural-language querying of talks, blog posts, and videos across platforms, with pagination and filtering by title, language, city, country, portal, and year. It also exposes prompts for finding content and summarizing yearly activity, plus resources describing server capabilities and content statistics.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Enables an AI assistant to read course and lesson data, transcripts, PDF handouts, and progress from a digital university account, with study prompts and local resource sync. It is read-only by design, so it cannot alter attendance, completed lessons, or tests.

MCP server for Piazza Q&A platform, enabling course management, post creation, search, and user interactions via reverse-engineered API.