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    Unified MCP server for browser automation (Playwright + CDP + CLI) and bookmark management across Chrome, Firefox, Edge, and Brave, including cross-browser sync, deduplication, and a React dashboard.
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    MIT
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    A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.
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    Hosted Playwright browser automation for AI agents. Returns accessibility trees instead of screenshots, cutting token usage by 77%. Navigate, interact, extract structured data, and take screenshots — all via MCP. Zero infrastructure, credit-based pricing.
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    MIT
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    Crawl4AI MCP Server is an intelligent information retrieval server offering robust search capabilities and LLM-optimized web content understanding, utilizing multi-engine search and intelligent content extraction to efficiently gather and comprehend internet information.
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    MIT
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    Enables AI agents to take screenshots of local web pages and capture user-selected UI elements via a bookmarklet, providing element metadata for precise visual understanding.
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    MIT
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    A token-efficient browser automation server that enables LLMs to navigate websites, click elements, and extract content using accessibility trees and markdown conversion. It provides eight tools for lightweight browser interaction optimized for performance with local LLM endpoints.
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    MIT
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    Provides access to Jina AI's suite of web tools including URL reading, web/image/academic search, content extraction, embeddings, and reranking capabilities. Enables AI assistants to search the web, extract content from URLs, and process information with semantic understanding.
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    Apache 2.0
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    Hybrid computer-use MCP server that automates browsers and native macOS/Linux apps by fusing accessibility trees, Chrome DevTools Protocol, and vision into one structured context. Exposes four composable tools — cel_see, cel_act, cel_think, cel_perceive — that work with any MCP client and run fully offline via Ollama.
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    Apache 2.0