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"A server for finding pictures of dogs to post on Reddit r/DOG" matching MCP servers:

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  • A
    license
    A
    quality
    A
    maintenance
    Upload-Post is the all-in-one social media MCP server the Model Context Protocol server for social media publishing, scheduling and analytics. Connect any MCP-compatible AI agent (Claude, Cursor, ChatGPT, Claude Desktop, n8n, and more) and publish, schedule and analyze content across 13+ social networks from one API: TikTok, Instagram, YouTube, YouTube Shorts, Instagram Reels, LinkedIn, Facebook
    51
    58
    5
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
    1,930
    1
    Apache 2.0
  • F
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    maintenance
    An MCP server that generates images of random dogs from the Dog CEO API with 'LGTM' text overlaid. It allows users to create and save these images to a specified local path through natural language commands.
  • A
    license
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    quality
    C
    maintenance
    Read-only MCP server for public Reddit content using TypeScript. Enables listing posts, fetching post details and comments, and searching Reddit.
    32
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables browsing Reddit, searching posts, reading comment threads and user history, with opt-in posting and voting through the Reddit API.
    14
    0
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server for interacting with Reddit, enabling browsing, searching, content creation, and management with built-in safe mode and bot disclosure features.
    23
    648
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    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.
    1
    16
    1
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    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.
    17
    648
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables MCP clients to scan, search, and read Reddit posts and comments using Reddit's public JSON endpoints, with no API credentials required.
    32
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables access to Reddit data including posts, comments, user profiles, and subreddit information through a unified API interface with token-efficient TOON format output.
    15
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A read-only MCP server that connects to the Reddit Data API to search posts, browse subreddits, read comments, view user profiles, and check trending content through the Model Context Protocol.
    12
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    32
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local, read-only Reddit MCP server that provides tools for searching posts, retrieving posts/comments, subreddit information, and user content via the official Reddit Data API with caching and privacy-focused features.
    The Unlicense
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    6
    MIT