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Why this server?
Acts as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
Why this server?
A Model Context Protocol (MCP) server that provides tools for searching and fetching information from Hacker News.
Why this server?
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
Why this server?
Enables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.
Why this server?
A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.
Why this server?
A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
Why this server?
A server that implements the Model Context Protocol (MCP), providing an interface for LLM applications to generate mermaid.js visualizations and diagrams.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Why this server?
Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.