"Learning Programming" matching MCP servers:

Enables educational and learning tasks including flashcard generation with Anki integration, Zotero library management, Obsidian vault interaction, and mathematical expression verification with LaTeX support.

Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.

Implements cognitive science-backed interleaved learning techniques to create study plans, generate mixed-topic quizzes, manage flashcard decks, and track learning progress for optimal knowledge retention.

Provides read-only access to StudyLife data including courses, notes, sessions, and learning goals, enabling MCP clients to query study information via natural language.

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

Manage a Japanese learning review queue backed by an Obsidian vault; allows reviewing due items, quizzing on mastered words, adding new grammar/vocab, and importing from Bunpro CSV.

Enables AI tutors to maintain durable, local-first learning state by modeling goals as prerequisite-aware knowledge trees, reusable concepts, and evidence-gated mastery.

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

Enables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.

A small Model Context Protocol (MCP) server that gives an AI a personal notes/todo store. Built for learning.

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

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

A learning-focused MCP server that demonstrates core MCP concepts through a simple notepad application, enabling users to create, update, delete, and search notes while exploring tools, resources, and prompts functionality.

An MCP server that locally saves and categorizes user prompts from LLM sessions to facilitate metacognition and track learning progress. It provides tools to review study history, analyze question types, and calculate learning depth scores based on the nature of inquiries.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

Enables Cursor and Claude to search and read an Obsidian vault, capture inbox/learning/work notes, append daily logs, distill chats, and manage structured bug sessions with safety controls.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

Enables AI agents to share a persistent, self-learning memory by ingesting and classifying knowledge from Obsidian, code, transcripts, bookmarks, and terminal sessions, then retrieving token-optimized context through MCP and REST APIs.

Enables AI coding agents to save and recall atomic markdown knowledge cards with bidirectional links across sessions, so learning persists and builds over time. Cards live as plain, git-syncable files readable by both agent and human, with no vector database or embeddings required.

Enables access to Dedao learning platform courses, transcripts, and comments, with Obsidian integration.