Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1029servers and find the perfect MCPs for your needs.
Example
Demonstrates building a functional Model Context Protocol (MCP) server for integrating with LLM clients.
Ragdocs
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local files using natural language.
Content Summarizer
Provides intelligent summarization capabilities for various content types using Google's Gemini 1.5 Pro model.
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.
Svelte LLM
Delivers Svelte developer documentation and context to Large Language Models via Model Context Protocol (MCP) endpoints.
Llmctx
Offers Svelte 5 and SvelteKit documentation as an MCP endpoint and LLM presets for AI assistants.
Anki
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Zotero
Exposes your Zotero library to AI assistants via the Model Context Protocol.
Svelte Docs
Provides efficient access to Svelte documentation with advanced caching and search capabilities.
Markmap
Converts Markdown text into interactive, exportable mind maps.
Erick Wendel Contributions
Query Erick Wendel's contributions across various platforms using natural language.
Memory Bank
Creates and manages structured project documentation as interconnected Markdown files.
Next
Analyzes Next.js app directory structures to help LLMs understand API routes.
Wikipedia
Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).
Unreal Analyzer
Enables AI assistants to deeply understand and analyze Unreal Engine source code.
Readwise
Connects Readwise to Large Language Models (LLMs) through a local Model Context Protocol (MCP) server.
Flux UI
Provides reference information for Flux UI components to AI assistants via a Model Context Protocol (MCP) server.
Ebook
Enables natural language interaction with eBooks in EPUB and PDF formats through a Model Context Protocol (MCP) server.
Zettelkasten
Implements the Zettelkasten knowledge management methodology, enabling creation, linking, exploration, and synthesis of atomic notes.
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