"Configuring write access to an MCP server for Cursor.ai IDE using Supabase" matching MCP servers:

Provides tools for Chinese character stroke order animation with tracing practice and real-time weather queries for major cities.

Enables users to check whether a chosen university subscribes to a given journal or paper — via search, DOI, journal title, database, and journal-package queries — returning library holdings plus clickable links the user opens themselves. It supports multiple schools through a picker panel and only ever inspects holdings, never downloading full text.

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

A minimal MCP server template that offers calculator tools, resources, and prompts for learning NitroStack fundamentals, built with TypeScript and Zod.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

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.

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

Provides an educational overview of MCP architecture, tools, resources, and prompts, and explains how to build, connect, and deploy MCP servers.

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.

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.

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 LLMs to search and retrieve exam problems, solutions, and answers from the СДАМ ГИА educational platform across multiple subjects. It supports fuzzy text matching, catalog browsing, and structured data retrieval to assist with academic study and test preparation.

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.

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

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

Read-only MCP server providing Wealthi's AI Coach with scoped access to student progress data from Firestore and Supabase, enabling AI to retrieve student profiles, progress, assessment results, and learning signals without direct database credentials.

Connect AI assistants to Unfold It -- create goals with AI-generated plans, agent-assisted clarification, plan import with enrichment, individual progress tracking, cohort analytics, and skill assessments.

Enables integration with LeetCode APIs to retrieve problems, contests, solutions, and user data, support daily challenges and advanced searches, and perform authenticated actions such as running or submitting code and managing notes.

Local MCP voice coach that provides English pronunciation, grammar, and fluency feedback from microphone recordings. It supports free-form voice conversation, focused practice drills, phoneme-level feedback, prosody hints, and learner-profile guidance.