Learning & Documentation MCPサーバー
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。779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。
Zotero
Exposes your Zotero library to AI assistants via the Model Context Protocol.
Next
Analyzes Next.js app directory structures to help LLMs understand API routes.
Memory Bank
Creates and manages structured project documentation as interconnected Markdown files.
Octocode
Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.
Svelte Docs
Provides efficient access to Svelte documentation with advanced caching and search capabilities.
Google Scholar
Enables AI assistants to search and access Google Scholar papers through a simple interface.
Docfork
Provides up-to-date documentation for thousands of libraries directly within your AI code editor via the Model Context Protocol.
Unreal Analyzer
Enables AI assistants to deeply understand and analyze Unreal Engine source code.
Next.js Router Analyzer
Analyzes Next.js app directories to extract information about API routes, including paths, methods, and schemas.
Anki
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Flux UI
Provides reference information for Flux UI components to AI assistants via a Model Context Protocol (MCP) server.
Readwise
Connects Readwise to Large Language Models (LLMs) through a local Model Context Protocol (MCP) server.
Package Docs
Provides LLMs with efficient access to package documentation across multiple programming languages.
Codex Keeper
Provides AI assistants with curated access to latest development documentation and best practices.
Library
Enables interaction with Markdown knowledge bases through an MCP server.
Godoc
Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Markmap
Converts Markdown text into interactive, exportable mind maps.
Anki
Integrates with Anki to allow managing decks, note models, and notes via the Model Context Protocol.
Zettelkasten
Implements the Zettelkasten knowledge management methodology, enabling creation, linking, exploration, and synthesis of atomic notes.
Ref Tools
Provides AI coding tools and agents with access to documentation for APIs, services, and libraries.
Scroll for more results...