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Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.
Why this server?
Fetches and extracts comprehensive package documentation from multiple programming language ecosystems (JavaScript, Python, Java, etc.) for LLMs like Claude without requiring API keys.
Why this server?
A server providing tools to read, write, and edit Microsoft Word (docx) files through the Model Context Protocol, allowing operations like complete document reading, content creation, targeted paragraph editing, and text insertion.
Why this server?
A tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base, storing content as Markdown files for easy viewing with tools like Obsidian.
Why this server?
A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.
Why this server?
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface.
Why this server?
A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.
Why this server?
A Model Context Protocol server that retrieves information from Wikipedia to provide context to LLMs, allowing users to search articles, get summaries, full content, sections, and links from Wikipedia.
Why this server?
Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.
Why this server?
An MCP (Model Context Protocol) server for efficiently managing Markdown documents in Cursor AI IDE, supporting CRUD operations, search, and metadata management.