learning & documentation向けの厳選されたMCPサーバーコレクションをご覧ください。2384個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Record and manage notes with AI models using a simple note-taking server.
Provides comprehensive access to academic paper data, author information, and citation networks via the Semantic Scholar API.
Enhances Claude AI with real-time web search and premium content access.
Provides access to LeetCode problems, user data, and contest information via a GraphQL interface.
Crawls websites, generates Markdown documentation, and makes that documentation searchable.
Extracts narrative and API documentation from a library in a format suitable for use with AI coding assistants.
Enables natural language interaction with the arXiv API for retrieving and utilizing scholarly articles.
Demonstrates implementation of an MCP client using SwiftUI and the Anthropic API.
Enables programmatic interaction with Anki flashcards, decks, and review processes.
Guides users to set up a basic Model Context Protocol (MCP) server in .NET.
Integrates the Capacities knowledge management system with AI models via the Model Context Protocol for seamless interaction.
Enables AI agents to assist with Emacs Lisp coding tasks by providing a structured API for interacting with Emacs and manipulating Elisp code.
Equips AI development and QA workflows with comprehensive documentation and up-to-date code examples for AntV visualization libraries.
Provides a professional TypeScript-first platform for Claude Code, enabling multi-agent orchestration, advanced browser automation, and comprehensive documentation intelligence.
Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.
Provides a server for querying Apple developer documentation and SDK symbols directly from your local Xcode installation.
Establishes a personal memory layer for AI assistants, enabling semantic search, philosophical reflection, and knowledge management.
Provides AI coding agents with real-time intelligence on a project's patterns, conventions, architecture, and historical rationale.
Enables Claude Chat, Cowork, and Code to share operational state and project context across sessions.
Creates and maintains persistent, LLM-agent-driven knowledge bases that evolve incrementally with new information.
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