Enables local-first ingestion of Douyin links, favorites, and public Bilibili videos into Markdown, timestamped transcripts, OCR, visual assets, and deduplicated indexes for downstream RAG workflows.
Enables AI agents to perform web research in one tool call by searching, fetching and cleaning full pages, and ranking cited passages. Provides web_research, web_fetch, web_search, and status tools for MCP clients.
Extracts document download links from websites using browser automation, and intelligently finds specific documents like SEC filings via AI-powered navigation.
A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.
Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.
Maps Electron app IPC handlers to MCP tools and provides 33 built-in CDP tools for DOM automation, screenshots, interaction, and debugging, enabling Claude Code to directly control your Electron app.
A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.
Provides access to Jina AI's suite of web tools including URL reading, web/image/academic search, content extraction, embeddings, and reranking capabilities. Enables AI assistants to search the web, extract content from URLs, and process information with semantic understanding.
Semantic web search MCP server that navigates the live web using a cheap LLM and local embeddings, caching results for fast responses to similar queries without relying on general search engines.
Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.
Consolidates code understanding, documentation, browser automation, memory, and knowledge graph into a single MCP server with progressive discovery for up to 98% token reduction.
Provides live web and document intelligence, including search, company news, scraping, crawling, structured extraction, document parsing, brand intelligence, screenshots, website monitoring, and batch jobs.
Enables remote MCP access to tools for URL-to-markdown conversion, web and image search, academic search, embeddings, reranking, classification, deduplication, and PDF extraction.
Provides tools for web content extraction, search, embeddings, reranking, and image processing via Jina AI APIs, enabling intelligent data retrieval and analysis.