learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1561개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized Model Context Protocol (MCP) server.
Enables AI models to access and query jOOQ documentation, including SQL examples and best practices.
Provides an interactive web tutorial for learning how to build Model Context Protocol (MCP) servers.
Provides a basic MCP server implementation utilizing streamable HTTP for communication.
Enables AI assistants to perform full-text searches and retrieve content from Obsidian vaults using the Model Context Protocol.
Fetches and summarizes developer documentation from MDN Web Docs.
Exposes OpenBB widgets.json specifications as structured, callable tools for programmatic access.
Provides efficient search and referencing capabilities for user-configured documentation.
Validates code and content against official Model Context Protocol specifications, ensuring technical accuracy and preventing misinformation.
Illustrates fundamental multi-agent system concepts, hierarchical agent architectures, and AI agent tool execution using the Google Agent Development Kit (ADK).
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and retrieve detailed research information.
Demonstrates the Model Context Protocol (MCP) for AI assistants to interact with external tools and data sources.
Indexes and enables natural language querying of your Obsidian notes through a Retrieval-Augmented Generation (RAG) server.
Generates educational explanation videos based on topics using the Scenext AI video generation platform.
Retrieves relevant sections from PDF documents for use within Zed's AI Assistant.
Empowers AI coding assistants with semantic search across Apple's comprehensive developer documentation, WWDC transcripts, and code examples.
Provides personalized Korean Beauty information, skin analysis, and product recommendations through real-time web search and curated knowledge.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and analyze citations and references.
Enables AI agents to search documentation within HexDocs using the search API.
Leverage LightRAG and Tree-sitter to build a repository knowledge graph from code and documentation for Q&A and implementation planning.
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