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    Demonstrates using Playwright with the Model Context Protocol (MCP) to enable large language models to automate browser interactions, with an example of cursor-based pagination against the GitHub GraphQL API.
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    Enables Cursor to drive Google Chrome through the jev-browser-use click loop, with Cursor supplying tasks, typing text, and verifying results while Jev chooses the next click.
    5
    1
    MIT
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    C
    maintenance
    A memory server that manages a knowledge graph with entities and relations, supports internet search via DuckDuckGo, and stores dialogue history, enabling persistent memory and web interaction for AI assistants.
    MIT
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    A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.
    1
    339 npm
    1
    MIT
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    maintenance
    A browser automation MCP server providing 30 tools for navigation, interaction, page information, state checks, tab management, and more, enabling natural language control of browsers via MCP-compatible clients.
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    Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to drive a Chromium browser over MCP, reading pages as a numbered list of controls and performing actions like clicking, filling forms, and asserting page state without screenshots or API keys.
    10
    814 PyPI
    15
    MIT
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    MCP server for web scraping with natural language, enabling site crawling, page fetching, and extraction of emails, phones, links, and social profiles. Returns clean markdown, handles JavaScript rendering, and respects rate limits.
    24
    1
    MIT
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    Extends chrome-devtools-mcp with a reach tool that uses Jev to navigate the browser to a desired page state, so you can then inspect console, network, snapshots, or screenshots with a single devtools call.
    30
    138 npm
    MIT
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    Enables AI agents to automate real Chrome via a structured Semantic Action Graph, without screenshots, CDP, or bot detection. It supports clicks, form filling, navigation, and state diffs on strict-CSP sites and modern SPAs.
    31
    5
    MIT