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Semantic search across web, research papers, and similar content discovery via Exa API. \n \n Five endpoint modes: semantic/keyword search, content extraction, similar page discovery, direct answers, and structured research with custom output schemas \n Supports search type selection (neural embeddings, fast keyword, deep comprehensive, or auto), category filtering (research papers, GitHub, news, PDFs, tweets, etc.), and date range constraints \n Two-phase architecture with main skill for intent

Search persistent cross-session memory to answer questions about previous work and past solutions. \n \n Three-layer workflow: search for IDs and metadata (50–100 tokens per result), optionally view timeline context around interesting results, then batch-fetch full details only for filtered IDs \n Search parameters include query text, project name, observation type (bugfix, feature, decision, discovery, change), and date range filtering \n Timeline tool shows observations, sessions, and prompts

YouTube video search, download, and subtitle extraction with advanced filtering and sorting. \n \n Search across YouTube with keyword filtering, channel browsing, and sorting by date, view count, or relevance; supports duration and publish date filters \n Download videos at specified quality, extract audio as MP3, and retrieve subtitles in multiple languages (SRT and timestamped TXT formats) \n Browse channel videos with optional keyword search within channels, sorted by time, views, or duration

Five AI-optimized web tools for search, content extraction, site crawling, mapping, and research reports. \n \n Five distinct tools: tavily_search for web queries with AI answers, tavily_extract for clean content from URLs, tavily_crawl for multi-page site traversal, tavily_map for URL discovery, and tavily_research for comprehensive multi-step research \n Supports advanced search modes including deep research, topic filtering (general/news/finance), and time-range constraints \n Crawl and map o

Neural search for web content, code, companies, and people via the Exa MCP server.

Modern React InstantSearch setup using hooks for type-ahead search.

Fast web search for current information, research, and fact-finding across the internet. \n \n Executes single objective-based queries or multiple keyword searches in parallel, returning up to 10 results with excerpts and metadata \n Supports time-sensitive filtering via --after-date and domain-specific searches with --include-domains \n Outputs structured JSON with titles, URLs, publish dates, and excerpts for easy parsing and follow-up queries \n Requires inline citations for every claim using

Lightweight web search and content extraction via Brave Search API, no browser required. \n \n Two core commands: search.js for querying the web with configurable result counts, and content.js for extracting readable markdown from specific URLs \n Search results include title, link, and snippet by default; add --content flag to include full page content as markdown \n Ideal for documentation lookup, fact-checking, and fetching web content without the overhead of browser automation \n Requires BR

Web search with AI-optimized results, relevance scoring, and advanced filtering via Tavily API. \n \n Supports three topic types (general, news, finance) and two search depths (basic, advanced) with optional AI-generated answer summaries \n Includes domain filtering to include or exclude specific sites, time-range filtering (day, week, month, year), and configurable result counts \n Returns structured results with relevance scores, publication dates, and optional raw page content; supports both

Baidu AI search with four modes: web search, encyclopedia, video encyclopedia, and AI-generated answers. \n \n Supports four search modes via the Baidu Qianfan platform: web search (default), Baidu Baike encyclopedia, Miaodong Baike video encyclopedia, and AI-generated responses \n Command-line interface with filtering options: limit result count, filter by site, and filter by recency (week/month/semiyear/year) \n Automatically includes current date context for time-sensitive queries \n JSON out