"An overview of temporal knowledge graphs" matching MCP servers:

Enables AI tutors to maintain durable, local-first learning state by modeling goals as prerequisite-aware knowledge trees, reusable concepts, and evidence-gated mastery.

An MCP server for tracking student learning via a knowledge graph, with spaced repetition scheduling and intelligent queries to identify gaps, misconceptions, and optimal next steps.

Remote MCP server for FTC & Pedro Pathing research, providing tools to search technical notes, code templates, and verified team examples to assist AI agents in code generation and robotics development.

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.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Provides access to thousands of interactive self-awareness scenarios, behavioral archetypes, and breakthrough exercises from the Levels of Self development game. It enables AI assistants to guide users through pattern recognition and developmental coaching across seven levels of self-awareness.

Access to the new Open English Translation of the Bible with both a Readers' Version and a Literal Version

Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.

Enables querying publicly available information from the Vardhaman College of Engineering website through hybrid semantic search, with over 15 tools covering departments, admissions, placements, faculty, and IQAC details.

Enables AI assistants to access PSG College of Technology e-campus portal data including CA marks, attendance records, timetable schedules, and course information through natural language queries.

Enables semantic search across thousands of indexed educational YouTube videos covering topics like engineering, marketing, and strategy. It allows users to query insights from top creators directly through Claude Code using the Model Context Protocol.

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.

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

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

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.

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

Rabbithole provides an infinite canvas for learning by allowing users to open documents, select text, ask questions, and receive answers that open as child documents, all running locally via an MCP server.

Helps independent inventors calculate USPTO fees, determine entity status, track patent deadlines, and understand procedural rules without needing an attorney.

A minimal Model Context Protocol server built with the official Python SDK. It exposes one tool, define, which looks up the definition of an English word using the free dictionaryapi.dev API.

Enables browsing situation groups and reading full-text chapters from a curated library of 403 deep reads, with the model matching situations to entries instead of using keyword search.