Model Context Protocol server that integrates AgentQL's data extraction capabilities.
Example project for running the AgentQL Python SDK in a Docker container, using MongoDB for storing inputs and outputs.
A Node.js-based service that automates the process of filling job application forms. Simply provide the form URL, and the bot handles the rest - from field detection to intelligent response generation and form submission.
Example scraper using AgentQL for blog post
Production-ready ARGUS: Voice-First AI Browser Automation Agent built with TypeScript, React 18, Plasmo (MV3), LangGraph, and AgentQL. Converts voice commands into typed automation via a custom Playwright-style DOM runtime. Features fast Web Speech API capture, cascading element resolver, and risk-aware permission system for safe execution.
AgentQL data automation
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
AI-powered job scraper: Patchright (source-patched Playwright) to defeat CDP-based bot detection, AgentQL for resilient element queries, and Claude structured tool-use to extract typed job records to SQLite/CSV.
Rewrites brittle CSS and XPath locators in Playwright and Selenium scripts into semantic AgentQL queries, using an AST parse so no call site is silently dropped
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
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