"Chat with RAG (Retrieval-Augmented Generation)" matching MCP servers:

Enables retrieval of tutor lesson scripts from Supabase and diarized transcripts from PencilSpaces, with Google OAuth gating to a domain.

Enables beginner-friendly Python and Pybricks development support through RAG-powered tools that search official documentation, suggest code snippets, and provide version-aware guidance for LEGO robotics programming.

A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.

Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.

Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

Provides AI assistants with intelligent access to ML textbook content through RAG-powered search, chapter retrieval, and documentation generation capabilities. Uses local models for privacy-focused, source-grounded responses from indexed technical books.

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables AI agents and users to search institutional knowledge, retrieve policies and academic regulations, compare document versions, and generate grounded answers with verified citations through MCP tools, resources, and prompts.

Enables LLMs to search and retrieve exam problems, solutions, and answers from the СДАМ ГИА educational platform across multiple subjects. It supports fuzzy text matching, catalog browsing, and structured data retrieval to assist with academic study and test preparation.

Free, no-key MCP server for reading scripture from 35+ public-domain translations in 8 languages. Lets users fetch verses, chapters, and passages via natural language from any MCP client.

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.

Enables chat assistants to insert graded coding exercises (Python, JavaScript, TypeScript, SQL) with hidden tests, and returns failed attempts to the conversation so the tutor can explain the learner's specific mistake.

An MCP server for the FlashLearnAI public API that enables AI-powered flashcard deck generation, browsing sets, SM-2 spaced-repetition study sessions, and API usage tracking through natural language.

An MCP server that enforces a pedagogical workflow to teach topics step by step, using research, decomposition, and spaced retrieval practice.

A learning-focused MCP server that provides tools for current time, arithmetic, random quotes, mock weather, and UUID generation, demonstrating the Model Context Protocol end-to-end.

MCP server that wraps UDIR's open registries for Norwegian schools (NSR) and kindergartens (NBR), enabling search by municipality and retrieval of full details including coordinates and enrollment.

An MCP server that allows LLMs to read and search the text of ebooks from Book Orbit, using a navigation-first approach with chapter listing and paginated text retrieval.

Integrates EduChain's educational content generation capabilities with Claude Desktop, enabling creation of multiple-choice questions, comprehensive lesson plans, and flashcards for any educational topic.

Enables browsing and preparing study materials from local documents (PDF, Markdown, text, Word) via tools for overview, search, reading, chunking, and quiz generation.

Enables search and retrieval of Shakespeare monologue metadata including character, play, first line, and paraphrases through various tools.