📌Overview

Purpose: The TikTok MCP aims to seamlessly integrate TikTok access into Claude AI and other applications, enabling advanced video analysis and interaction.

Overview: TikTok MCP allows users to analyze videos for virality factors, retrieve content, and even chat with videos. Through a series of tools, users can access subtitles, detailed post information, and more, enhancing their engagement with TikTok content.

Key Features:

• tiktok_available_subtitles: This tool looks up available subtitles for a TikTok video, providing content options in various languages and formats. It helps users quickly check accessibility of video subtitles.

• tiktok_get_subtitle: This feature retrieves the actual subtitle content for a TikTok video, offering customization for language preferences. It ensures users can engage with content in their desired language.

• tiktok_get_post_details: This tool provides detailed insights into a TikTok post, including descriptions, creator information, engagement metrics, and video duration. It allows for comprehensive analysis of TikTok content.

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TikTok MCP

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

• Analyze TikTok videos to determine virality factors
• Retrieve content from TikTok videos
• Chat with TikTok videos

Available Tools

tiktok_available_subtitles

Description:
Looks up the available subtitle (content) for a TikTok video. Returns available subtitles in various languages and formats such as Automatic Speech Recognition, Machine Translation, or Creator Captions.

Input Parameters:

• tiktok_url (required): TikTok video URL (e.g., https://www.tiktok.com/@username/video/1234567890).

tiktok_get_subtitle

Description:
Retrieves the subtitle (content) for a TikTok video. If no language code is provided, the tool will return the subtitle of automatic speech recognition.

Input Parameters:

• tiktok_url (required): TikTok video URL (e.g., https://www.tiktok.com/@username/video/1234567890).
• language_code (optional): Language code for the subtitle (e.g., en for English).

tiktok_get_post_details

Description:
Returns the details of a TikTok post, including:

• Description
• Creator username
• Hashtags
• Engagement metrics (likes, shares, comments, views, bookmarks)
• Date of creation
• Video duration

Input Parameters:

• tiktok_url (required): TikTok video URL (e.g., https://www.tiktok.com/@username/video/1234567890).

Requirements

To use the TikTok MCP, you need:

• NodeJS v18 or higher
• Git
• TikNeuron Account and MCP API Key

Setup

1. Clone the repository:

   git clone https://github.com/Seym0n/tiktok-mcp.git
   

2. Install dependencies:

   npm install
   

3. Build the 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": "YOUR_API_KEY_HERE"
    }
}

Replace path with the path to TikTok MCP and YOUR_API_KEY_HERE with your TikNeuron API Key. The updated mcpServers section will look like this:

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