TikTok Integration MCP Server

Social MediaTypeScript

Access and analyze TikTok videos with AI

Available Tools

tiktok_available_subtitles

Looks up the available subtitles for a TikTok video. Returns the available subtitle options in different languages and formats (Automatic Speech Recognition, Machine Translation, Creator Captions).

tiktok_url

tiktok_get_subtitle

Gets the subtitle content for a TikTok video. If no language code is provided, returns the automatic speech recognition subtitle.

tiktok_urllanguage_code

tiktok_get_post_details

Gets detailed information about a TikTok post including description, creator username, hashtags, engagement metrics (likes, shares, comments, views, bookmarks), creation date, and video duration.

tiktok_url

The TikTok Integration MCP provides seamless access to TikTok content for AI applications. It allows you to analyze videos for virality factors, extract video content including subtitles in various languages, and interact with TikTok videos programmatically. This integration leverages the TikNeuron API to provide comprehensive TikTok data access.

Overview

The TikTok Integration MCP enables AI applications to access and analyze TikTok content. This integration is particularly useful for content creators, marketers, and researchers who want to understand TikTok trends, analyze video performance, or extract content from TikTok videos.

Requirements

Before setting up the TikTok Integration MCP, ensure you have:

NodeJS v18 or higher installed
Git installed
A TikNeuron account and MCP API key (available at https://tikneuron.com/tools/tiktok-mcp)

Installation

Step 1: Clone the Repository

First, clone the TikTok MCP repository to your local machine:

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

Step 2: Install Dependencies

Navigate to the cloned repository directory and install the required dependencies:

cd tiktok-mcp
npm install

Step 3: Build the Project

Build the project to generate the necessary files:

npm run build

This will create the build/index.js file that will be used by the MCP server.

Step 4: Configure Your AI Application

To use the TikTok Integration MCP with Claude AI or other compatible applications, add the following configuration to your mcpServers settings:

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

Make sure to replace:

PATH_TO_TIKTOK_MCP with the actual path to your TikTok MCP installation
YOUR_TIKNEURON_API_KEY with your TikNeuron API key

Usage

Once installed, you can use the TikTok Integration MCP to:

Analyze TikTok videos to determine virality factors
Extract content from TikTok videos, including subtitles in various languages
Get detailed information about TikTok posts, including engagement metrics

The MCP provides several tools that can be called from your AI application to interact with TikTok content. Each tool accepts specific parameters and returns structured data about TikTok videos.

Troubleshooting

If you encounter issues with the TikTok Integration MCP:

Verify that your TikNeuron API key is valid and correctly configured
Ensure that NodeJS v18 or higher is installed and accessible
Check that the build process completed successfully and the build/index.js file exists
Confirm that the path to the MCP in your configuration is correct

For additional support, visit the TikNeuron website or refer to the GitHub repository documentation.