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    Enables free keyword research by pulling autocomplete suggestions, Google Trends, Bing search volume, Reddit threads, and competitor sitemaps, with volume estimation and keyword organization for use in Claude, Cursor, and other MCP clients.
    16
    1
    MIT
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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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    This MCP server enables free web search and page content extraction using real browsers, with support for multiple search engines and stealth browser backends. It provides tools for searching, fetching pages, and setting up the Camoufox stealth browser.
    3
    MIT
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    Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.
    8
    MIT
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    Enables MCP clients to perform free web search and read web pages as markdown without paid APIs, Docker, or a background service, by querying multiple free search engines in parallel with optional fallbacks and extracting clean page content. Also supports fetching a site's llms.txt documentation files.
    MIT
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    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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    Free self-hosted web search for AI agents with multi-engine parallel search, semantic re-ranking, and native China network support. Zero API keys.
    2
    24 PyPI
    27
    MIT
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    Ad-free web scraping and search exposed as 3 MCP tools. fetch_page, fetch_pages_batch, search_web. Works with Claude Desktop, Cursor, Cline.
    3
    102 PyPI
    2
    MIT
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    Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.
    3
    42 npm
    1
    MIT