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"Using Google and other search engines to find answers" matching MCP servers:

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    An MCP server that provides Google Search functionality with automatic API key rotation and intelligent quota management, enabling natural language search queries with advanced filtering options.
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    MIT
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    Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.
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    Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth authentication.
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    A Model Context Protocol (MCP) server that empowers LLMs to search across specific social media platforms using the industry's best search engines.
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
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    MIT
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    Enables AI assistants to perform real-time Google searches with anti-bot protection. Bypasses search engine restrictions using advanced browser automation to extract search results locally without requiring paid API services.
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    MIT
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    Connects Google Analytics 4 data to Claude, Cursor and other MCP clients, enabling natural language queries of website traffic, user behavior, and analytics data with access to 200+ GA4 dimensions and metrics.
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    Apache 2.0
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    Tools for AI assistant's deep research: * Google search + webpage reading (incl. JS-rendered pages) * Document & decks analysis * YouTube transcript extraction * Patents + academic paper search * Company and competitors research * Prompts for comprehensive-research, fact-check, summarize-url, news-briefing, patent-portfolio-analysis, competitive-analysis, literature-review, technical-deep-dive
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.
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    MIT