About TikTok MCP
TikTok MCP connects TikTok video subtitles, post details and search to Claude and other apps through TikNeuron. It suits users who want to analyze video content or factors behind virality.
Key features
- 01Retrieve subtitles for TikTok videos
- 02Query post description, engagement and duration
- 03Search TikTok videos by keyword with pagination
- 04Optional subtitle language code selection
Use cases
- 01Analyzing content and virality factors of TikTok videos
- 02Using video subtitles as text context for discussion
- 03Finding related videos by keyword and reviewing their metrics
MCP support
This project is an MCP server that exposes tools for subtitles, post details and video search to MCP clients, and requires a TikNeuron API key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
TikTok MCP
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/1234567890language_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 resultssearch_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.
- Download the latest
tiktok-mcp.mcpbfrom the Releases page - Open the
.mcpbfile — Claude Desktop will show an installation dialog - 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
- Clone the repository
git clone https://github.com/Seym0n/tiktok-mcp.git
- Install dependencies
npm install
- 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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