"Khan Academy" matching MCP servers:

Enables AI assistants to search, browse, and read Khan Academy's educational content, including courses, articles, and video transcripts. It provides tools to navigate the subject hierarchy and retrieve detailed metadata without requiring an API key.

MCP server for StudioMeyer Academy that connects Claude Code, Cursor, or Claude Desktop to track learning progress in the Memory-First AI Operator curriculum. It enables users to view lessons, complete quizzes, earn certificates, and run spaced-repetition reviews directly in chat.

The canonical crypto MCP server for AI agents, providing access to 3,500+ editorial articles, 200+ entity dossiers, 43 academy lessons, and live market data as native MCP tools with full attribution.

Helps school, academy, kindergarten, and club operators quickly generate notices, replies, and checklists for guardians.

Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources.

Enables persistent, distilled memory for AI assistants, allowing recall and storage of durable facts across sessions and subagents via MCP.

MCP server for Woody, an AI firearms expert that answers questions with verified citations, checks state-specific laws, and routes to specialist agents.

Connects Claude to NHTSA vehicle safety data, enabling VIN decoding, recall checks, crash-test ratings, and consumer complaints via natural language.

Unofficial MCP server for working with Kagi without API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

An MCP server that enables AI assistants to interact with the DhanHQ trading platform, providing access to holdings, orders, trade history, and token renewal via DhanHQ APIs.

A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.

Enables unified management of maintenance windows and incidents across Atlassian Statuspage and Uptime Kuma. It allows AI assistants to schedule maintenance, update service statuses, and list monitors through a single MCP-compatible interface.

Enables AI assistants to search and retrieve Magic: The Gathering card data through the Scryfall API. Supports card searches, random card generation, autocomplete, set listings, and rulings lookup.

Upload, edit, compress, protect, redact, and compare PDFs with KDAN PDF in Claude and ChatGPT.

Queries Korean apartment sale transaction data (RTMS) by region code and contract date. Optimized for token efficiency with compressed JSON and Korean field names.

Enables automated timesheet management including creating entries, listing work activities, managing daily scrum updates, and viewing assigned projects with automatic authentication handling.

Enables AI assistants to directly query Chaoxing/Xuexitong courses and homework status via fast HTTP calls, with persistent login and automatic re-authentication.

Provides AI tutoring capabilities for Romanian police academy entrance exam preparation, enabling students to access educational content, track learning progress, and collaborate with peers. Connects to the Academiadepolitie.com platform serving over 50,000 students with comprehensive study materials for law enforcement subjects.

Enables AI assistants to interact with InterSystems IRIS databases through SQL queries, document management, ObjectScript execution, debugging, and unit testing via the Atelier REST API.

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{