"Using an API defined by YANG models with MCP" matching MCP servers:

An MCP server for Canvas LMS that provides 15 curated tools for everyday student work and a gateway to reach every endpoint your Canvas instance exposes.

Provides access to API Ninjas Random Word API to generate random words by type (noun, verb, adjective, adverb) for creative writing, games, and language learning applications.

A local MCP server that exposes Canvas LMS courses, assignments, grading, discussions, modules, pages, files, messaging, and peer reviews to an AI assistant through about 100 Markdown-returning tools, with preview-then-confirm behavior for any write operations.

MCP server exposing NTNU course data (search, schedules, grades, semesters) as tools for LLM agents.

Enables AI agents to access and interact with the Sefaria database of Jewish texts, including retrieval, search, and related content.

Provides MCP tools to fetch and filter schedules for groups, teachers, and rooms from VSUET's timetable site, with support for JSON or text output.

Provides an MCP interface for accessing YOKATLAS (Turkish Higher Education Council Atlas) data, enabling LLM applications like Claude to search and retrieve details about undergraduate and associate degree programs in Turkey.

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 the generation of educational content such as multiple choice questions, lesson plans, and flashcards by connecting local Ollama models to Claude. It leverages the Educhain library to provide structured AI-powered learning tools through the Model Context Protocol.

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 AI clients to search BUPT byrdocs materials, past exam papers, and freshmen knowledge base via natural language.

Korean Saju and Chinese BaZi (Four Pillars) computed by the CAFE engine: natal chart with Day Master and Ten Gods, Five Elements balance, chart structure (格局), yin-yang and climate, favorable-element candidates, and a manseryeok calendar with exact solar-term times. 6 read-only tools, no API key. Remote: https://mcp.24plus.ai.kr/mcp or npx -y @dangamsoft/cafe-mcp

Predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

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.

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 bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

An MCP server for interacting with the Tripura State Board of Secondary Education API, auto-generated using AG2's MCP builder to enable conversational access to education data.

Enables querying the Urban Institute's Education Data Portal — harmonized federal data on schools, school districts, and colleges — through a discovery-first set of tools that search and describe datasets, fetch raw records or aggregated statistics, decode coded values, and resolve institution names to IDs, with no API key required and read-only access to the live API.

MCP server for Medify UCAT accounts that authenticates as a member, pulls completed mock scores and practice analytics, and exposes tools for score trends, question-type weaknesses, timing sinks, and practice recommendations.

Enables searching and retrieving course details, schedules, prerequisites, and instructor information from the CMU course catalog via the ScottyLabs API.