Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.
An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone.
Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
Enables AI assistants to fetch and process web content securely, including HTML-to-markdown conversion, reader mode, metadata extraction, RSS/sitemap parsing, and robots.txt-aware requests with SSRF protection.
A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.
An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.
Enables LLMs to fetch and process web page contents by providing tools to retrieve raw HTML, extract clean text, and convert web pages to markdown format.
Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.
Enables fetching and extracting web content as markdown using Firecrawl API, with support for single or multiple concurrent URL fetches and web search capabilities.