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 icon

Example

125

Demonstrates building a functional Model Context Protocol (MCP) server for integrating with LLM clients.

Ragdocs icon

Ragdocs

121

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 icon

Content Summarizer

120

Provides intelligent summarization capabilities for various content types using Google's Gemini 1.5 Pro model.

Google Scholar icon

Google Scholar

119

Enables AI assistants to search and access Google Scholar papers through a simple interface.

Docfork icon

Docfork

118

Provides up-to-date documentation for thousands of libraries directly within your AI code editor via the Model Context Protocol.

Svelte LLM icon

Svelte LLM

117

Delivers Svelte developer documentation and context to Large Language Models via Model Context Protocol (MCP) endpoints.

Llmctx icon

Llmctx

116

Offers Svelte 5 and SvelteKit documentation as an MCP endpoint and LLM presets for AI assistants.

Anki icon

Anki

115

Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.

Zotero icon

Zotero

108

Exposes your Zotero library to AI assistants via the Model Context Protocol.

Svelte Docs icon

Svelte Docs

106

Provides efficient access to Svelte documentation with advanced caching and search capabilities.

Markmap icon

Markmap

104

Converts Markdown text into interactive, exportable mind maps.

Erick Wendel Contributions icon

Erick Wendel Contributions

100

Query Erick Wendel's contributions across various platforms using natural language.

Memory Bank icon

Memory Bank

99

Creates and manages structured project documentation as interconnected Markdown files.

Next icon

Next

97

Analyzes Next.js app directory structures to help LLMs understand API routes.

Wikipedia icon

Wikipedia

94

Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).

Unreal Analyzer icon

Unreal Analyzer

94

Enables AI assistants to deeply understand and analyze Unreal Engine source code.

Readwise icon

Readwise

93

Connects Readwise to Large Language Models (LLMs) through a local Model Context Protocol (MCP) server.

Flux UI icon

Flux UI

90

Provides reference information for Flux UI components to AI assistants via a Model Context Protocol (MCP) server.

Ebook icon

Ebook

87

Enables natural language interaction with eBooks in EPUB and PDF formats through a Model Context Protocol (MCP) server.

Zettelkasten icon

Zettelkasten

86

Implements the Zettelkasten knowledge management methodology, enabling creation, linking, exploration, and synthesis of atomic notes.

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