learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1223개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to perform full-text searches and retrieve content from Obsidian vaults using the Model Context Protocol.
Provides AI-powered tools to generate, customize, and document its-just-ui React components directly within your code editor.
Manages AI tool context centrally to reduce sharing costs and improve development productivity.
Connects language models to the Royal Spanish Academy (RAE) API for enhanced Spanish language capabilities.
Integrates comprehensive Medusa.js v2 documentation into AI assistants, offering smart search and real-time assistance for enhanced development workflows.
Programmatically interact with Anki decks for Japanese language learning through a Model Context Protocol (MCP) server.
Converts Mermaid diagram code into various image formats for AI clients via the Model Context Protocol.
Provides programmatic access to Pydantic-AI documentation via a Model Context Protocol (MCP) server.
Retrieves relevant sections from PDF documents for use within Zed's AI Assistant.
Provides AI agents with access to Astro documentation for assisting users with Astro-related tasks.
Provides unified Apple Human Interface Guidelines and technical documentation for all Apple platforms via the Model Context Protocol.
Equips AI assistants with programmatic access to Microsoft AL-Go documentation and resources for Business Central development.
Connects TronClass to Claude AI, enabling direct interaction through the Model Context Protocol (MCP).
Provides intelligent discovery and search capabilities for Swagger/OpenAPI endpoints, enabling AI assistants to dynamically explore and interact with REST APIs.
Access the comprehensive HackTricks knowledge base to retrieve hacking techniques, explanations, and advice via MCP-compatible LLMs.
Provides intelligent software design pattern recommendations through semantic search and vector embeddings.
Performs comprehensive project analysis through real code parsing, AST-level component extraction, and intelligent context generation for AI coding assistants.
Enables AI agents to create and manage simple, persistent reminders for themselves across sessions, similar to human voice assistant reminders.
Provides extensive knowledge about the Backstage framework for plugin development and customization.
Demonstrates the implementation of the official MCP-JAVA-SDK.
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