learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2386개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables access to the YouTube Translate API for obtaining transcripts, translations, and summaries of YouTube videos.
Provides standardized access to Swiss court decisions via the entscheidsuche.ch API, enabling LLMs to search, retrieve, and analyze legal documents.
Access and interact with published books directly within Claude or other MCP clients.
Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.
Provides programmatic access to Pydantic-AI documentation via a Model Context Protocol (MCP) server.
Processes PDF documents, extracts text, and recognizes LaTeX equations for use with AI models.
Connects language models to the Royal Spanish Academy (RAE) API for enhanced Spanish language capabilities.
Provides AI assistants access to BootstrapBlazor component documentation and source code.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Provides AI-powered tools to generate, customize, and document its-just-ui React components directly within your code editor.
Offers a comprehensive suite of Chinese traditional calendar functions, including BaZi, solar terms, and daily fortune telling.
Exposes Go project insights and static analysis to large language models for enhanced understanding and code generation.
Enables Large Language Model interaction with the Macau University of Science and Technology (M.U.S.T.) campus system, automating various academic tasks.
Generates and serves a web documentation site directly from your project's Markdown files, enabling quick setup and AI tool integration.
Enables AI assistants to interact with Dev Proxy capabilities through the Model Context Protocol (MCP) standard.
Integrate Zotero with AI research assistants through a fast, fully local Model Context Protocol server.
Integrates self-hosted Docmost documentation with AI assistants using the Model Context Protocol.
Empowers large language models with persistent memory capabilities, enabling them to learn, store, and intelligently retrieve information from various sources.
Enables local semantic search across markdown documents and Granola meeting transcripts for enhanced AI context without relying on cloud services or API keys.
Provides a local semantic search engine for engineering patterns, integrating with AI coding agents to offer contextual wisdom.
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