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"A guide to searching for information on Reddit" matching MCP servers:

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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    Apache 2.0
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    Enables searching Reddit posts, fetching subreddit content, and retrieving post comments without requiring an API key. It uses public JSON endpoints to provide seamless access to Reddit data for LLM-based applications.
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    MIT
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    Provides access to public Reddit data through tools for searching subreddits, viewing posts, and reading comments without requiring authentication. It enables Model Context Protocol clients to interact with Reddit's public JSON API via stdio or HTTP transports.
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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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    Scrapes and queries Reddit posts, comments, and media from subreddits and user profiles without requiring API keys, storing data locally for offline access and filtering.
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    An MCP server that provides both read-only and authenticated access to Reddit content and interactions without requiring a developer API key. It enables users to browse posts, search subreddits, and perform write actions like commenting and voting by leveraging browser session cookies.
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    The Unlicense
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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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    Enables read-only access to Reddit for searching posts within specific subreddits using OAuth2 authentication. It allows users to search by query and sort results by relevance, popularity, or date.
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    Enables access to Reddit data including posts, comments, user profiles, and subreddit information through a unified API interface with token-efficient TOON format output.
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    Provides access to Reddit's API for retrieving posts, comments, user information, and search functionality. Supports multiple authentication methods and comprehensive Reddit data operations including subreddit browsing, post retrieval, and user profile access.
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    Enables interaction with Reddit through the Reddit API, allowing users to search posts, retrieve saved content, fetch comments, reply to comments, and access detailed post information with comment trees.
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    A Model Context Protocol server that enables AI assistants to fetch Reddit content including consensus on topics, top posts, helpful links, and related subreddits.
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    Enables interaction with Reddit through a comprehensive API interface supporting both read-only operations (browsing posts, comments, user profiles) and authenticated actions (posting, commenting, voting) via OAuth2 authentication.
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    An MCP server that enables AI assistants to access and interact with Reddit content through features like user analysis, post retrieval, subreddit statistics, and authenticated posting capabilities.
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    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
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    Provides AI assistants with access to Reddit data for searching, browsing subreddits, and retrieving post details or user activity without requiring API keys. It enables tools to fetch content, nested comment trees, and public user feeds directly through the Model Context Protocol.
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    Enables comprehensive Reddit interaction including fetching posts, analyzing users and subreddits, searching content, and creating posts/comments. Supports both read-only mode with client credentials and full functionality with user authentication.
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    Enables AI agents to search, read, and analyze Reddit content, including posts, comments, subreddits, and user profiles using natural language commands. It provides atomic tools for interacting with the Reddit API to retrieve trending topics and community metadata.
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    A server allowing interaction with Reddit via the public API, enabling browsing frontpage posts, retrieving subreddit details, and reading post comments through a Model Context Protocol.
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    Enables AI agents to search Reddit for posts, comments, and users or monitor for high-intent leads and brand mentions. It functions by delegating scraping tasks to high-performance Apify cloud actors.
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    Enables comprehensive Reddit research through a three-layer architecture that discovers relevant communities, provides operation guidance, and executes multi-subreddit content fetching with proper citations. Supports searching, post fetching, comment analysis, and batch operations across multiple subreddits for thorough content analysis.
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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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    Dialog MCP Server enables AI assistants to conduct Reddit research through semantic search across 20,000+ indexed subreddits, fetching posts and comments with full citations and URLs. It provides a three-layer architecture (discover → schema → execute) for market research, competitive analysis, a
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    Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
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    A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.
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    A Model Context Protocol server focused on China's A-share stock market that provides data on stocks, financials, market indices, and macroeconomic indicators.
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    A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.
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    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
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    A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.
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    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
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    Enables AI agents to search, monitor, and analyze Reddit's communities and discussions through authenticated API access with intelligent caching and rate limiting.
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    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
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    Apache 2.0
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    An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.
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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