learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1561개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Exposes a comprehensive suite of Nix/NixOS tooling functionalities via the Model Context Protocol (MCP).
Uncovers hidden Xcode documentation and integrates various Apple developer resources through the Model Context Protocol.
Provides expert guidance for Dojo and Cairo development on Starknet.
Orchestrates a comprehensive spec-driven development workflow, integrating requirements, design, implementation, and validation within an MCP client.
Integrates AI chat capabilities within Android Studio to assist developers using natural language.
Provides Pokémon information through a Model Context Protocol (MCP) interface.
Enables AI agents to access coding rules directly from GitHub repositories, eliminating the need for local rule files.
Connects Claude conversations with AnkiConnect to facilitate spaced repetition learning.
Provides a comprehensive database of Next.js documentation URLs to AI agents for intelligent document selection.
Connects Kibela to Model Context Protocol (MCP) clients for enhanced AI integration.
Indexes and serves documentation from various sources via the Model Context Protocol and REST API to provide context for AI assistants.
Provides a token-efficient local server to give AI assistants access to DaisyUI component documentation.
Provides unified access to multiple framework documentations with intelligent name resolution and asynchronous processing.
Empower any AI agent with modular, reusable domain-specific capabilities by integrating Claude's Skills pattern.
Enables AI assistants to securely search and reference content stored within Kibela.
Provides programmatic access to the Marimo documentation.
Extracts transcripts from YouTube videos for use with Claude AI, offering zero-setup access across desktop, mobile, and web platforms.
Enhances code development by providing intelligent suggestions, documentation integration, and technology detection.
Provides client applications with the ability to access and retrieve Wikipedia pages.
Connects a Readwise Reader library to Large Language Models via the Model Context Protocol.
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