"Task" matching MCP servers:

Enables hands-on learning of Model Context Protocol through a task-board server that exposes tools, resources, and prompts over stdio, plus a terminal host that connects to local Ollama models.

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 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.

Provides structured access to the Tao Te Ching's 81 chapters, including Chinese text, an English translation, full-text search, topic-based reading paths, and reflection prompts.

Read-only MCP server for managing academic literature acquisition workflows at Jilin University, providing precise access to Zotero metadata, PDF paths, paginated full text, and task status while enforcing legal OA and institutional access boundaries.

Enables AI assistants to search TryHackMe rooms and extract room overviews, task instructions, commands, and questions as clean Markdown for training and reference. Supports session-cookie authentication for subscriber content and includes curated foundational cybersecurity and Linux learning tracks.

Exposes course documents as searchable resources and provides tools for reading, study task management, and source-grounded quiz prompts. Supports hybrid retrieval and integration with DeepSeek-based agents.

Extracts and summarizes learning content from YouTube videos, PDFs, and web articles to provide context for project-based learning. It features automated background processing and integrates with Forest's HTA builder for informed task generation.

Read-only MCP server for Chaoxing (学习通) that logs into a user's account and exposes their class schedule, enrolled courses, course materials downloads, homework status, exam schedules and scores, chapter task-point progress, notices, and personal cloud drive files. Enables any MCP client to answer natural-language questions about a student's coursework without submitting anything or modifying account data.

Enables local, progressive technical coaching inside MCP-compatible AI agents, delivering short targeted lessons calibrated to the user's knowledge after each completed task while storing everything in a local SQLite file.

This MCP server integrates GitHub issues, academic deadlines (LMS), and a personal task tracker to help AI assistants answer questions like 'What should I work on today?' with a prioritized overview.

Connects AI assistants such as Claude, ChatGPT, Gemini, and Cursor to a unified personal operating system, enabling them to track habits and streaks, manage task lifecycles and deadlines, and build syllabi and flashcard decks with FSRS-5 spaced-repetition scheduling through 102 typed tools. All reads and writes run against a single append-only event ledger over an OAuth 2.1-secured Streamable HTTP endpoint.