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    Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.
    2
    BSD 3-Clause
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    A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.
    5
    32 npm
    16
    MIT
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    Enables AI agents to extract structured content from URLs, search the web via DuckDuckGo, monitor site availability, and convert HTML to markdown without requiring API keys.
    5
    36 npm
    MIT
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    Provides intelligent CSS/JS feature compatibility checking with configurable browser targets, polyfill support, and smart project scanning. Enables developers to automatically detect browser compatibility issues and get actionable remediation steps with build tool configurations.
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    5 npm
    3
    MIT
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    21 web-data tools for AI agents: jobs, hiring signals, news, research and field trends, reviews, Reddit leads, contacts, property, Shopify, events.
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    511 npm
    1
    MIT
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    This project is a Model Context Protocol (MCP) server that fetches articles from GeekNews. It is implemented in Python, and performs web scraping using BeautifulSoup.
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    18
    MIT
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    Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.
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    1
    MIT
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    A Model Context Protocol server that enables AI models to extract structured data from websites through the extract\_structured\_data tool.
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    23 npm
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    Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.
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    431 npm
    45
    MIT
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    A browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension, supporting functions like console monitoring, screenshots, DOM analysis, and website auditing.
    14
    36 npm
    2
    MIT
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    Exposes a dynamically registered tool for each public social data endpoint, letting MCP clients like Claude, Cursor, and VS Code pull profiles, posts, comments, transcripts, and search results as clean typed JSON from nine platforms. Tool descriptions surface credit costs and returned fields upfront, with failed calls refunded, bounded results, and readable errors that never auto-retry.
    99 npm
    3
    MIT
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    Enables AI assistants to search for jobs across multiple platforms (Indeed, LinkedIn, Glassdoor, etc.) using the JobSpy tool, with filtering and structured output.
    122
    MIT
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    Enables agents to access 30 pay-per-event Apify actors for ad, video, reel, and audio transcripts; Google Trends and keyword demand; job boards; Amazon product data; and Instagram data, charging only per delivered item.
    MIT
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    Enables AI agents to operate an isolated local Chromium browser through MCP, with semantic snapshots, ref-based actions, search, research, crawling, and CDP access.
    Apache 2.0
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    Enables AI agents to browse and interact with the web through token-efficient structured page representations, returning compact orientations plus targeted queries instead of full accessibility-tree dumps. Supports navigation, clicking, typing, form filling, screenshots, console/network monitoring, and session management, with selectable tool profiles to cut definition overhead.
    4 npm
    MIT
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    Lets AI agents drive a headless Chromium browser to open URLs, click, type, select options, read text/HTML, evaluate JavaScript, wait for elements, and capture real PNG screenshots. A persistent single session keeps cookies and SSO state across tool calls, and an optional live view mirrors pages in VS Code's integrated browser tab.
    MIT
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    Collapses browser act-then-observe into single tool calls, returning immediate consequences like DOM changes, layout shifts, and network activity to reduce tool calls by ~50% and tokens by ~90%.
    21 npm
    MIT
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    This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.
    7,339
    MIT
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    A Model Context Protocol server that provides comprehensive domain analysis capabilities including WHOIS lookups, DNS record queries, and DNS health checking.
    14
    MIT
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    Gives AI agents token-efficient browser access by returning compact, structured page summaries, targeted element queries, and on-demand detail instead of full accessibility-tree dumps. Supports navigation, interaction, monitoring, and session management through MCP tool profiles.
    4 npm
    MIT
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    A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.
    MIT