"Material Design Icons" matching MCP servers:

Compute Human Design charts, cycle returns, transits, synthesis, and chart comparison natively inside AI assistants.

Perfume database API with verified notes: 1,500+ perfumes, 160+ houses, 400+ raw materials in a fragrance ingredients database. 12 tools over MCP and REST, OpenAPI spec, free and keyless, answers in 10 languages. Look up a note or raw material and get the perfumes that use it, or a perfume and get its full top, heart and base pyramid. Built by Scento.

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.

Enables users to find books by keyword, ISBN, or author and check which branches hold copies of them and whether those copies are currently available for loan or when they are due back. Currently covers Shanghai's interlinked public library network of 900+ locations, with a design open to additional cities.

Enables Claude Code and Claude Desktop to access Hansung University’s LMS (Cosmos) for assignment, quiz, VOD, and course-material workflows, including deadline lists, downloading assignments and materials, weekly summaries, and local lecture transcription, without submitting work.

Enables searching your local study notes, course code, and lecture PDFs, reading files and PDF pages, registering doubts, and tracking completed lessons. Also provides prompts to generate quizzes and weekly revision plans grounded in your own material with source citations.

Enables AI agents to design Cisco Packet Tracer topologies by validating device and link configurations and generating PTBuilder scripts for execution in Packet Tracer.

MCP server giving AI models direct access to 30M+ resources at ETH Library Zurich – books, maps, images, archival material, and linked-data person records.

An AI-powered MCP server for EdTech teams that automates support triage, re-engagement outreach, feedback analysis, progress reporting, and course design using Gemini.

MCP server for Science Tokyo LMS, enabling course material download, assignment deadline checks, and more via tools like list_courses and get_upcoming_deadlines.

Enables an AI assistant to read course and lesson data, transcripts, PDF handouts, and progress from a digital university account, with study prompts and local resource sync. It is read-only by design, so it cannot alter attendance, completed lessons, or tests.

Turns Claude or ChatGPT into a live system design interviewer that watches a hand-drawn whiteboard, reads the diagram as structured data or an image, hears spoken answers, pins questions on components, and grades the session. Everything runs locally, so users can practice mock interviews on their own machine without API keys.

Enables AI chat clients to search, create, and edit notes, manage decks and cards, preview card HTML/CSS, design your cards and work with media and .apkg deck packages through AnkiConnect.

Unofficial MCP server for Chung-Ang University (중앙대학교) eclass, connecting Claude and Codex to courses, assignment deadlines, grades, exam schedules, and syllabi through LearningX and Canvas LMS. Supports course material and video downloads, plus assignment submission with dry-run validation.

MCP server and CLI for EVA FING (Moodle of Facultad de Ingeniería, UdelaR) that authenticates headlessly via Shibboleth, enabling AI agents and users to query courses, announcements, activities, calendar, and study material.

Enables Claude Desktop users to interact with NTHU eeclass through natural language for course management, homework creation and grading, announcements, grade imports, material downloads, and AI-assisted content generation, with role-based permissions and consent dialogs.

Unifies glossary lookup, composition design and validation, certification preparation, practice planning, and taal explanation for tabla learning into a single MCP interface.

A self-hostable, vulnerable-by-design MCP server for learning how object-level authorization bugs (BOLA/IDOR) appear in multi-tenant tools.

Enables agents to search a curated catalog of practical AI books and retrieve book records, topics, reading paths, free chapters, glossary definitions, and verified claim citations. It also supports checking claims and generating citations from the catalog’s published free material.

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due.

Serves curated, offline design knowledge over MCP — UX principles, UI patterns and checklists, design-system tokens that can be merged, brand and content systems, research methods, metrics frameworks, and the GOV.UK Service Standard — so clients can retrieve guidance, search the catalogue, and score a described design against it. Everything ships locally with no network, API key, or state.

A remote MCP server that gives Claude access to your Canvas LMS course materials and files, enabling you to list courses, retrieve files, modules, syllabus, pages, assignments, grades, quizzes, and more via natural language.

Enables AI assistants to automate electronic circuit design, wiring, Arduino coding, simulation, and debugging directly in the Tinkercad web interface.

Provides Japanese-optimized reference, design consultation, and learning support for Max/MSP and Max4Live through natural language queries.

An MCP server for interacting with the MyDy (Moodle-based) LMS, enabling attendance viewing, course browsing, assignment and grade checking, announcement reading, and material downloading.

Enables clients to calculate second-order dynamics metrics and design early-stage brackets, including mass-spring-damper parameters, step-response metrics, pole and gain design, hand checks, and candidate ranking. Inputs are unit-annotated and schema-validated before execution.

Enables AI agents to generate teaching materials such as PPTs, handouts, lecture scripts, mind maps, teaching video storyboards, and Manim math animations, plus run quality checks and language normalization through 15 MCP tools.

Enables teachers to turn plain-language teaching requests into interactive HTML demos and Mannim-rendered narrated animations through a confirm-once workflow, with automatic lesson design, generation, review, and revision. Shares a local work library with the standalone web workbench so finished lessons can be exported as offline HTML, MP4, or ZIP packages.

Turns any source material into a guided learning experience with learning maps, notes, four-phase study loop, spaced repetition flashcards, and grounded Q\&A.

Enables coding tools to work with a Prepped account, covering meetings and their materials and projects, preparation, talks, calendar events, resumes, the question bank and practice, including uploading local files as meeting material.

Enables AI clients to create spaced-repetition flashcards from material being learned, quiz users aloud, grade answers, and schedule reviews using the FSRS algorithm through a self-hosted MCP server.

Enables agents to design and edit Cisco Packet Tracer labs—devices, cabling, IPs, VLANs, routing, services, ACL/NAT—and generate configured .pkt files or .pka activities, plus inspect and preview existing labs.

Enables agents to design Cisco Packet Tracer labs from a device/link spec — cables, IPs, VLANs, routing and DHCP — and generate ready-configured .pkt files, .pka activities and SVG previews without opening Packet Tracer. It also exposes primitives to add, edit and inspect devices, services, ACLs and NAT in existing lab files.

Enables AI agents to design and validate Cisco network topologies, generate IOS CLI configurations, deploy and configure devices live in Cisco Packet Tracer, and verify connectivity through pings and packet captures. It also supports building auto-graded Packet Tracer activities (.pka) for CCNA labs.

Enables an AI agent to drive the openEMS FDTD electromagnetic simulator in two teaching modes: executor, where the agent designs, simulates and tunes antennas, and tutor, where the student designs while the agent may only run, inspect and explain results because the model-editing tools are removed at the server level. It also provides project/workspace management, background simulation execution, post-processing of S11, impedance, bandwidth, directivity and gain, plus session logging and design-review tools.

This server provides calculated Human Design charts and interpretations based on personal birth data, covering types, profiles, and planetary transits. It also enables users to compare two individuals' charts to determine shared design channels and explain complex concepts in plain language.

MCP server that exposes a read-only knowledge base of verified math lecture material, enabling AI agents to quiz students using active recall via list_topics and query_annuma tools.

Enables users to generate quizzes in various formats, flashcards from topics or personal notes, structured study courses, explanatory diagrams, and short study-break games through any MCP client. It turns spare moments into active learning by letting clients quiz, drill, and organize study material on virtually any subject.

Enables name validation, arithmetic evaluation, shape identification from images, syllabus study material lookup, and graph-based route optimization with tolls.

Enables people and AI to read the same PDFs, arXiv papers, and GitHub documentation/code together by preserving source identity, page or line locations, and selected text so the current chat can explain the material in context.