Learning & Documentation MCP Servers

Example

130

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

Svelte LLM

129

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

Docfork

129

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

Google Scholar

124

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

Anki

123

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

Ragdocs

123

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

122

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

Llmctx

116

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

Zotero

114

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

Svelte Docs

113

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

Markmap

109

Converts Markdown text into interactive, exportable mind maps.

Wikipedia

100

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

Erick Wendel Contributions

100

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

Dotnet Samples

99

Provides .NET sample code for creating and using Model Context Protocol (MCP) servers and clients.

Memory Bank

99

Creates and manages structured project documentation as interconnected Markdown files.

Unreal Analyzer

99

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

Ebook

98

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

Next

97

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

Readwise

97

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

DevOps AI Toolkit

95

Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.