"Loop" matching MCP servers:

AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.

Human-in-the-loop automation framework. Log them in, watch them run.

This MCP server lets AI assistants search job listings on Taiwan's 104 Job Bank, read full job details, and prepare applications with human-in-the-loop confirmation before final submission.

Provides AI agents with a visual design inspiration loop from award-winning websites, including natural-language search, inline screenshots, and detailed design DNA extraction. Also supports optional live page capture, structure analysis, and motion recording for design verification.

Enables AI agents to drive your real, logged-in Chrome browser with existing sessions and cookies, bypassing CAPTCHA and anti-bot measures, with support for multi-session and human-in-the-loop workflows.

An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!

A human-in-the-loop browser MCP server that pauses for user actions like login or CAPTCHA, saves and reuses authentication contexts, and extracts page data for development assistance.

Provides a remote browser session and MCP tools for restricted search and extraction on sites like XHS, Yelp, and TripAdvisor, with human-in-the-loop login.

Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!

Enables AI agents to interact with Dash dashboards by exposing them as MCP servers via a WebSocket bridge, with automatic tool registration and human-in-the-loop confirmation.

Enables AI agents to drive a real Chrome browser for autonomous web tasks, using fast typed decisions with calibrated confidence, human-in-the-loop questions, safety gates, and full debug traces.

Bridges a browser extension with an AI agent via MCP, enabling the agent to capture and act on UI elements, styles, and accessibility data from web pages.

Enables AI agents to perform real Google web searches and render web pages for content extraction using a local Chrome browser, with human-in-the-loop CAPTCHA verification, requiring no API keys.

CortexScout is the Deep Research & Web Extraction module within the Cortex-Works ecosystem. Designed for agent workloads that require token-efficient web retrieval, reliable anti-bot handling, and optional Human-in-the-Loop (HITL) fallback.

Lightweight MCP server for controlling a Windows Chrome instance from WSL, designed for AI coding agents with minimal token overhead and human-in-the-loop support.

Extracts transcripts, titles, descriptions, and comments from Loom videos via a remote MCP server.

Enables extracting transcripts, titles, descriptions, and comments from Loom video URLs via a remote MCP server deployable on Cloudflare Workers.

Enables agents to drive an evidence-based approval loop for Bright Data scraper repairs, detecting breakage, generating heal prompts, and verifying fixes against golden rows before commit.

Enables users to fetch transcripts and comments from public Loom video URLs. It provides tools to retrieve video text data and discussion threads directly through the Model Context Protocol.

Headless-browser-as-JSON for AI agents — POST a URL, get rendered HTML, structured DOM, visible text, title, links, and a screenshot from real Chromium, with memorymarket economics where the first agent to render a URL earns 90% of every cache-hit fee from other agents within a 10-minute TTL.