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Alternatives to Social Media MCP Server

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to manage social media publishing across platforms like LinkedIn, Twitter, Facebook, Instagram, Threads, and Bluesky.
      7
      59 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to schedule and publish social media posts to platforms like Instagram, TikTok, YouTube, LinkedIn, Facebook, X, Threads, and Pinterest using natural language.
      33
      99 npm
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Lets any AI agent post to TikTok, Instagram, YouTube, X, LinkedIn, Bluesky, Telegram, Mastodon and Discord through a single post_to_social tool. Connect an account once, then publish everywhere.
      2
      127 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Gives AI agents the ability to schedule and publish social media posts to Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Pinterest, Threads, and Bluesky. Create, schedule, and bulk-plan posts with per-platform captions, then check per-platform results and retry failures.
      12
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to post, schedule, thread, delete, and analyze social media posts across platforms like X, Bluesky, LinkedIn, and Instagram through a single MCP interface.
      3,268 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables posting to multiple social media platforms (X, LinkedIn, Facebook, Instagram, etc.) via a unified API, handling OAuth, media, and scheduling for each network.
      AGPL 3.0

    TDQS

    B3.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: create_post handles content creation, get_trending_topics retrieves trending information, and research_topic performs topic research using external search tools. There is no overlap in functionality, making tool selection straightforward for an agent.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (create_post, get_trending_topics, research_topic), using snake_case throughout. This predictability enhances readability and usability for agents.

    Tool Count2/5

    With only 3 tools, the server feels under-scoped for a social media domain. Key operations like reading posts, updating/deleting content, or interacting with comments are missing, limiting the server's utility for comprehensive social media tasks.

    Completeness2/5

    The toolset is severely incomplete for social media operations. It lacks basic CRUD functionality (e.g., no read, update, or delete for posts), interaction tools (e.g., like, comment, share), and platform-specific features, leaving significant gaps that will hinder agent workflows.