"Accessing or using a remote MCP server endpoint" matching MCP servers:

Enables clients to retrieve random study tips remotely via a stateless MCP server deployed on Google Cloud Run.

Automates ENVI Classic remote sensing experiments on Windows by executing steps, capturing authentic screenshots, and generating formatted Word/PDF lab reports.

Provides tools to fetch and analyze credit card data with filtering options for banks, categories, and user personas. It also offers access to educational guides to assist in making informed financial recommendations.

Exposes the WeRead (WeChat Reading) gateway over Streamable HTTP so any remote MCP client can search the store, browse the shelf, read progress and statistics, pull highlights, personal thoughts and public reviews, and even read a full imported book's text and write AI annotations on a shared co-reading board. Requires only a URL and bearer token, letting phone apps use it without running any local process.

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

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.

Generates personalized short bedtime stories for three-year-old children using custom themes and names. It provides a dedicated MCP tool for automated storytelling and is optimized for cloud deployment on platforms like Render.

Self-hosted Canvas LMS MCP server for every device: the same 209 student tools, protected by a password-gated OAuth 2.1 login over an ngrok tunnel, with automatic failover between multiple computers.

A runnable MCP server for learning GH-600 domain 2.0, providing four example tools (repo info, issues, summaries, safe file read) and a resource, using deterministic in-memory data.

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.

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.

Enables generation of chemical structures, reactions, spectra, titration curves, 3D models, and more from natural language or SMILES, using RDKit for offline rendering and supporting formats like PNG, SVG, CDXML, and Anki decks.

Enables querying Schoox LMS data (users, courses, enrollments, etc.) via natural language using AI assistants, without writing API code.

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

Enables searching Brown University courses, getting detailed course info, and checking schedule conflicts via natural language, using the university's public course catalog API.

Enables searching and retrieving course listings, departments, and syllabi from National Chengchi University's public course API using natural language.

Read-only MCP server that enables assistants to retrieve sourced dyscalculia prevalence figures with their study references (DOI or PMID where available), chart and table datasets, and plain descriptions of the five number-skill screening games. It lets users ask which study supports a given statistic and get citations and credit details without ever scoring or diagnosing a person.

Calculates pizza dough ingredient quantities using baker's percentages from ball count, weight, hydration, flour blend, and fermentation schedule. Returns grams of each flour, water, salt, and yeast with a readable summary and structured JSON.