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TikTok Content Analysis

STDIO

Integrates TikTok access into Claude AI and apps via TikNeuron for video analysis.

TikTok MCP

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The TikTok MCP integrates TikTok access into Claude AI and other apps via TikNeuron. This TikTok MCP allows you to

  • analyze TikTok videos to determine virality factors
  • get content from TikTok videos
  • chat with TikTok videos

Available Tools

tiktok_get_subtitle

Description:
Get the subtitle (content) for a TikTok video url. This is used for getting the subtitle, content or context for a TikTok video. If no language code is provided, the tool will return the subtitle of automatic speech recognition.

Input Parameters:

tiktok_get_post_details

Description:
Get the details of a TikTok post. Returns the details of the video like:

  • Description
  • Video ID
  • Creator username
  • Hashtags
  • Number of likes, shares, comments, views and bookmarks
  • Date of creation
  • Duration of the video
  • Available subtitles with language and source information

Input Parameters:

tiktok_search

Description:
Search for TikTok videos based on a query. Returns a list of videos matching the search criteria with their details including description, video ID, creator, hashtags, engagement metrics, date of creation, duration and available subtitles, plus pagination metadata for continuing the search.

Input Parameters:

  • query (required): Search query for TikTok videos, e.g., 'funny cats', 'dance', 'cooking tutorial'
  • cursor (optional): Pagination cursor for getting more results
  • search_uid (optional): Search session identifier for pagination

Requirements

For this TikTok MCP, you need

Setup

  1. Clone the repository
git clone https://github.com/Seym0n/tiktok-mcp.git
  1. Install dependencies
npm install
  1. Build project
npm run build

This creates the file build\index.js

Using in Claude AI

Add the following entry to mcpServers:

"tiktok-mcp": {
    "command": "node",
    "args": [
      "path\\build\\index.js"
    ],
    "env": {
      "TIKNEURON_MCP_API_KEY": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
    }
}

and replace path with the path to TikTok MCP and XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX with TIkNeuron API Key

so that mcpServers will look like this:

{
  "mcpServers": {
    "tiktok-mcp": {
      "command": "node",
      "args": [
        "path\\build\\index.js"
      ],
      "env": {
        "TIKNEURON_MCP_API_KEY": "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
      }
    }
  }
}

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