An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.
An MCP server that provides browser automation with anti-detect fingerprinting, accessibility snapshots, and ref-based element targeting, powered by Camoufox.
A Model Context Protocol server that wraps RPA-Python to enable AI models to directly control browsers for web automation, supporting 54 tools for navigation, interaction, and data extraction.
Enables browser automation and web scraping through Playwright, supporting navigation, screenshots, element interaction, form filling, JavaScript execution, and content extraction.
Tavily MCP Server implementation that uses fastmcp and supports both sse and stdio transports. It also supports more up to date functionalities of Tavily.
Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.
Converts files (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube transcripts, Bing search, general pages) to Markdown via the Model Context Protocol.
✨ 为你的 AI 助手装上 B 站的眼睛:一键提取视频字幕与热门评论,助力高效信息总结 🚀
✨ Equip your AI assistant with "Bilibili Eyes": One-click extraction of video subtitles and popular comments for efficient information summarization 🚀
Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.
A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.