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"A platform for discussions, communities, and information sharing - Reddit" matching MCP servers:

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    Enables browsing and searching Reddit content through read-only tools that access Reddit's official API. Supports searching posts, retrieving subreddit information, fetching hot posts, and getting detailed post information.
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    4
    MIT
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    Reddit automation for AI agents — browse feeds, search posts, comment, vote, and publish using a Chrome extension bridge. Python CLI with JSON output, no API keys needed.
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    MIT
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    A Model Context Protocol server that enables AI assistants like Claude to browse and analyze Reddit content, including searching subreddits, retrieving post details with comments, and viewing trending posts.
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    MIT
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    Enables AI assistants to browse Reddit, search posts, analyze user activity, and fetch comments without requiring API keys. Features smart caching, clean data responses, and optional authentication for higher rate limits.
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    Enables AI assistants to search, browse, and analyze Reddit in real-time via web scraping, including subreddit browsing, post comments, and business opportunity scoring.
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    MIT
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MIT
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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
    13
    MIT
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    Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.
    3
    Apache 2.0
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    TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.
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    MIT