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.
Enables AI coding tools to turn a list of links into a verified, browsable knowledge base with grounded summaries via MCP tools for update, validation, and enrichment.
A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.
Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.
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.
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
A Model Context Protocol server that lets Claude query arbitrary webpages with token-efficient, structure-aware retrieval, reducing token costs by fetching only relevant sections.
chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).
MCP server for browser automation with anti-detection. Scout pages, find elements, interact with websites, and monitor network traffic from any AI client that supports the Model Context Protocol.
Enables AI agents to browse and extract content from JavaScript-rendered web pages via the Model Context Protocol, returning plain text, HTML, or Markdown.