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Alternatives to TikTok MCP Server

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients and skill-aware agents to retrieve structured TikTok videos, profiles, hashtags, comments, followers, and related feeds without login. It supports natural-language requests for filtering, transcripts, downloads, and AI labels such as brand safety and sentiment.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to extract TikTok video and soundtrack media, metadata, covers, and manifests from public URLs or IDs through verified downloads and schema access via MCP tools.
      4
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query public social media data across TikTok, Instagram, YouTube, X, Douyin and Xiaohongshu through ten unified business-level tools covering creator and post search, comments, trending topics, and comment insights. Ships one normalized schema over MCP, SSE, REST and stdio, with per-call pricing and cost/balance reported in every response.
      10
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables downloading TikTok videos and photos without watermarks, extracting metadata and analytics, and performing bulk downloads of user profiles via CLI or as an MCP server for AI assistants.
      5
      22 npm
      1
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      MCP server for TikTok that lets AI agents connect accounts, post and schedule videos, follow users, manage profiles, and analyze performance—all via QR login with no API keys.
      16
      2
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables MCP clients to access public TikTok profiles, videos, comments, and keyword search as structured JSON over streamable HTTP, without a TikTok developer account or OAuth.
      4
      37 npm
      44 PyPI
      12
      MIT

    TDQS

    A3.9/5.0

    Scored across 6 tools

    Disambiguation4/5

    Most tools target distinct resources and actions: profile, videos, comments, search, creators, and transcription. The only mild overlap is between search_videos and discover_creators, since both search by topic/hashtag, but their output focus is clearly different (videos vs. creators).

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: get_profile, get_videos, get_comments, search_videos, discover_creators, transcribe_video. The convention is predictable and readable throughout.

    Tool Count5/5

    Six tools is well-scoped for a read-only TikTok data server, covering core retrieval and analysis needs without redundant operations. Each tool earns its place and the set is easy to navigate.

    Completeness4/5

    The surface covers profiles, user videos, comments, keyword search, creator discovery, and transcription, which handles most public TikTok research workflows. Minor gaps remain, such as no single-video lookup by ID or reply-level comments, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues