"How to fetch or scrape data from a website for use in training an LLM" matching MCP servers:

A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

A demo MCP server for training purposes, providing mocked tools for exchange rates, mortgage calculations, and branch information.

MCP server for tracking user course progress, providing tools to retrieve and save course and stage progress for authenticated users with data persisted in SQL Server.

MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

Enables natural-language queries about US K-12 public schools, districts, per-pupil funding and spending, and child poverty estimates from keyless federal data.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Provides structured CPR training resources including lessons, demonstration videos, and reflective questions through an MCP interface. Enables AI assistants to deliver trusted cardiopulmonary resuscitation training content on demand.

An educational MCP server example built with FastMCP that demonstrates how to expose tools, resources, and prompts to AI clients. Provides a learning foundation for building MCP servers with Python and integrating them with AI applications like IDEs and chatbots.

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.

Enables learning and integration testing of the Model Context Protocol by evolving from a minimal server toward production-grade tools, resources, prompts, and agent interoperability.

Enables users to query information about LPDP scholarship financial disbursement using RAG with Pinecone vector search and Gemini 2.0 Flash, answering questions about funding components, deadlines, living allowances, and required documents.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

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.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

Enables Claude Desktop users at the University of Ghana to read their own Sakai courses through safe, read-only tools — checking deadlines, announcements, calendars, assignments, feedback and grades, and extracting text and page images from lecture slides for study, planning and revision.

Enables AI apps to read a student's courses, due dates, grades, missing work, announcements, modules, discussions, syllabus, and calendar events in a read-only way. It cannot submit, edit, or delete anything, and credentials go only to the user's own school.

Provides access to Urban Institute's Education Data API through Claude, enabling users to query and analyze detailed educational data from schools, districts, and universities.

Turns text or voice chats into a persistent dialect-speaking coach that tracks corrections, schedules spaced-repetition word reviews, rotates focus words, writes session debriefs, and reports progress across sessions.

A local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.

MCP server that exposes a university course catalog to LLMs, enabling course search, prerequisite lookup, instructor details, and department directory through natural language.

Provides LLM assistants with course search, prerequisite lookup, instructor information, and prerequisite graph tools backed by a SQLite database, enabling AI-powered academic advising.

Provides intelligent access to a university course catalog with full-text search, prerequisite tracking, instructor lookups, and course comparison prompts.

Provides comprehensive CRUD access to Anki flashcard data via MCP, enabling Claude to analyze decks, manage cards, create and update flashcards, organize tags, and perform advanced spaced repetition analysis through 18 data management tools.

This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.

MCP server exposing a university course catalog with tools for searching courses, looking up prerequisites and instructors, and generating prerequisite graphs, plus resources and a prompt template for AI academic advisors.

An educational MCP server example demonstrating how to build a server that integrates with LLM clients like Claude Desktop.