learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1416개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a basic MCP server implementation utilizing streamable HTTP for communication.
Enables Large Language Model interaction with the Macau University of Science and Technology (M.U.S.T.) campus system, automating various academic tasks.
Facilitates learning and integration with the Nylas API by providing documentation, code samples, and interactive tools.
Provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol.
Integrates RAGFlow's knowledge base querying and document management capabilities directly into Claude Desktop.
Enables AI agents and external applications to easily explore and manage documents within local Obsidian vaults through a powerful tool API.
Provides personalized programming context and insights, acting as an AI version of a programmer's knowledge.
Provides Go package information via the Multi-Command Protocol (MCP).
Explore AI security vulnerabilities within a deliberately insecure framework designed for educational purposes.
Extracts video metadata and captions from YouTube videos, converting them to markdown with customizable templates.
Provides an AI assistant with comprehensive access to the tscircuit electronics component registry for search, browsing, and analysis.
Provides transcripts from a YouTube playlist through an experimental MCP server.
Integrates AI assistants with Mem.ai's intelligent memory platform for seamless knowledge management.
Analyzes Japanese text morphologically to measure linguistic characteristics and provide feedback for text generation.
Automate the management of Apifox API documentation using AI assistants.
Serves offline Qt 4.8.4 documentation, converting HTML to Markdown and providing full-text search to Agents, LLMs, and IDEs.
Connects TronClass to Claude AI, enabling direct interaction through the Model Context Protocol (MCP).
Provides research and documentation for Model Context Protocol (MCP) servers and implementations.
Incentivizes AI developer communities through a Solana-based protocol focused on knowledge sharing and Model Context Protocol (MCP) integration.
Lints, formats, and ensures compliance of Markdown files for AI assistants using Model Context Protocol.
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