MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).
Enables deterministic bilingual website intelligence audits by URL, returning fixed English or Spanish findings without ever contacting the submitted site.
A lightweight MCP server implementation that provides a simple tool for fetching website content, demonstrating how tools can be exposed and interacted with using the MCP protocol.
Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.
Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.
Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.
Converts any rendered web page into a complete, LLM-readable design specification—including block screenshots, distilled computed CSS, design tokens, responsive deltas, and alpha-channel-analyzed assets—so models can accurately reproduce the design.
Captures high-quality screenshots and screencasts of web pages, automatically tiling full pages into 1072x1072 chunks optimized for Claude Vision API and other AI vision models.
Extracts clean text content and metadata from website URLs using Beautiful Soup through a standardized interface for AI agents. It supports both Bearer token authentication and a blockchain-based pay-per-use protocol for flexible access.