"Exploring RAG through defined workspaces" matching MCP servers:

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.

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.

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.

Provides read-only access to Canvas LMS, enabling users to view active courses, grades, and upcoming assignments through natural language queries.

MCP server for exploring Texas public school data through conversational interfaces, enabling campus search, district details, geospatial lookup, comparisons, and transfer insights using TEA data.

Provides eight deterministic, source-grounded tools for exploring the Beautiful Solutions toolbox, enabling organizers and educators to search, compare, map, and build discussion guides around liberation-focused values, principles, solutions, and stories without runtime LLM or network calls.

Enables exploring and retrieving classic poems from PoetryDB via 12 MCP tools for catalog, search, and discovery, including by author, title, lines, and poetic forms.

An interactive learning assistant that helps developers understand AI-generated code changes through quizzes and blocking learning sessions. It tracks and searches debugging experiences using RAG to ensure users build long-term technical understanding rather than just copy-pasting solutions.

Provides AI assistants with access to Examplary's exam management platform, enabling users to create and manage exams, generate questions from materials, grade student responses, and collaborate in workspaces through 60+ API endpoints.

An MCP server for Pronote that enables users to access French school data like grades, timetables, and homework through AI assistants. It supports both parent and student accounts, including multi-child management and canteen menu retrieval.

Enables parents with Icelandic InfoMentor accounts to sign in through a visible browser on the MCP host and read visible parent landing-page and frame text through MCP tools, while passwords and cookies stay in the browser. It also exposes session status checks, setup progress tracking, browser installation, cancellation, and logout, though structured child selection, schedules, homework, notices, attendance, and grades are not yet implemented in this preview.

Enables Claude to interact with Canvas LMS to manage coursework, track assignments, and view grades through natural language. It supports comprehensive academic tasks including checking rubrics, participating in discussion boards, and submitting assignments.

Enables interaction with the Anki desktop flashcard application through the Anki-Connect plugin. Supports managing decks, cards, notes, and models, allowing AI assistants to create and query flashcards through natural language.

Maps educational standards across 310 curriculum systems in 50+ countries, enabling cross-border curriculum alignment through Claude.

Enables users to fetch number trivia, historical date facts, math properties, and random number facts through the NumbersAPI.

An MCP server that enables AI assistants to access and interact with Google Classroom data, allowing users to view courses, course details, and assignments through natural language commands.

Enables students and educators to connect ChatGPT, Claude, or another MCP client to the Skyward account they are already authorized to use, through a self-hosted deployment they control. It exposes read-only tools for report cards, gradebooks, academic history, attendance, schedules, test scores, fees, and graduation requirements.

Hosts self-contained HTML pages deployed through MCP, giving each page a stable URL for sharing in wikis, PDFs, or presentations.

Enables AI agents to access Codeforces public data (users, contests, problems, etc.) via natural language or direct tool calls through Pipeworx gateway.

Enables AI assistants to list learning tracks, retrieve study plans, generate coding challenges, and issue fictional completion certificates through the Model Context Protocol.