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    Tiktok Mcp

    Model Context Protocol (MCP) with TikTok integration JavaScript-based implementation.

    110 stars
    JavaScript
    Updated Nov 3, 2025
    mcp
    tiktok
    tiktok-report
    tiktok-tool

    Table of Contents

    • Available Tools
    • tiktok_get_subtitle
    • tiktok_get_post_details
    • tiktok_search
    • Install via MCPB (Easiest)
    • Requirements
    • Setup
    • Using in Claude AI

    Table of Contents

    • Available Tools
    • tiktok_get_subtitle
    • tiktok_get_post_details
    • tiktok_search
    • Install via MCPB (Easiest)
    • Requirements
    • Setup
    • Using in Claude AI

    Documentation

    TikTok MCP

    image (12)

    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_url (required): TikTok video URL, e.g., https://www.tiktok.com/@username/video/1234567890 or https://vm.tiktok.com/1234567890
    • language_code (optional): Language code for the subtitle, e.g., en for English, es for Spanish, fr for French, etc.

    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_url (required): TikTok video URL, e.g., https://www.tiktok.com/@username/video/1234567890 or https://vm.tiktok.com/1234567890, or just the video ID like 7409731702890827041

    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

    Install via MCPB (Easiest)

    The easiest way to install the TikTok MCP in Claude Desktop is via the MCPB bundle — no cloning or building required.

    1. Download the latest tiktok-mcp.mcpb from the Releases page

    2. Open the .mcpb file — Claude Desktop will show an installation dialog

    3. Enter your TikNeuron API Key when prompted

    That's it. Claude Desktop handles the rest automatically.

    Requirements

    For this TikTok MCP, you need

    • NodeJS v18 or higher (https://nodejs.org/)
    • Git (https://git-scm.com/)
    • TikNeuron Account and MCP API Key (https://tikneuron.com/tools/tiktok-mcp)

    Setup

    1. Clone the repository

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

    2. Install dependencies

    code
    npm install

    3. Build project

    code
    npm run build

    This creates the file build\index.js

    Using in Claude AI

    Add the following entry to mcpServers:

    code
    "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:

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

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