"How to break tasks into smaller steps" matching MCP servers:

A minimal, dependency-free MCP server demonstrating the 2026-07-28 protocol with a toy example of sending a person to check something in the physical world and returning structured evidence, ideal for learning the protocol layer.

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.

Packages self-contained HTML or Claude Design bundles into SCORM 2004 courses any LMS can import, with offline asset inlining, milestone-based completion/progress and score tracking. Fully local, no telemetry; validated end-to-end on SCORM Cloud.

An educational MCP server example demonstrating how to build a server that integrates with LLM clients like Claude Desktop.

Provides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.

Turns a coding agent into a language tutor grounded in your LingoChunk listening history, providing tools to access vocabulary, transcripts, audio clips, and create lessons.

Enables an AI assistant to publish flashcard study sets directly into the Vocabit app and then read back detailed learner results, including weak and untouched cards, so future sets can be tailored to actual performance.

MCP server for ГУАП's student portal enabling AI agents to manage tasks, materials, and reports.

Injects the Code-Me brand identity, tone, and visual guidelines into LLMs with zero latency using built-in context files.

Enables LLMs to browse and retrieve tasks from the FIPI EGE open bank, including subject listing, task search with metadata and LaTeX-formatted conditions, and automated answer checking for short-answer questions.

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

Enables AI assistants to turn plain-English requests into real, printable math worksheet packs drawn from a user's own Mathter account, complete with answer keys and saved directly to the local machine as a PDF. It also exposes the available skills and grades so the assistant picks valid configurations before generating.

MCP server that injects verified FTC documentation and code examples into AI assistants, enabling teams to write correct, competition-ready Java robot code through natural language.

Automates ENVI Classic remote sensing experiments on Windows by executing steps, capturing authentic screenshots, and generating formatted Word/PDF lab reports.

A curriculum that teaches AI agents how to spend their own money. Sixteen lessons from "what is a wallet" to your first x402 purchase. Teacher, not butler — never signs, pays, or holds keys.

Builds piano-friendly iReal Pro chord charts with deterministic layout, harmonic analysis, and a standalone HTML export. Provides tools to create, preview, list, and delete charts, and serves them over LAN for easy import into iReal Pro.

MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.

Enables AI assistants to read your own SKKU iCampus data, including tasks, assignments, announcements, lectures, attendance, and grades, through read-only MCP tools, with a refresh tool to request a new sync.

An MCP server that enables the creation of Canvas Common Cartridge (.imscc) packages from structured course data using the canvas_cc Ruby gem. It allows users to programmatically build course content including modules, assignments, and rubrics for import into compatible Learning Management Systems.

Converts JSON/CSV Markdown content into interactive flashcard pages with multiple templates, PDF export, and voice support for language learning.