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qualityA server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
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JavaScript
MIT License
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Why this server?
This server provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web.
Why this server?
Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
Why this server?
A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
Why this server?
A Model Context Protocol server that enables searching YouTube videos, retrieving and storing transcripts, and performing semantic search over video content without using the official YouTube API.
Why this server?
A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
Why this server?
A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers.
Why this server?
Searching google, individual websites and scraping their content. Fast and cost-effective.
Why this server?
Run your own MCP server for over 2,500 apps and APIs. Specifically, it can be used to connect to HTTP APIs to perform web scraping.
Why this server?
Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.