TikTok Content Analysis
STDIOIntegrates TikTok access into Claude AI and apps via TikNeuron for video analysis.
Integrates TikTok access into Claude AI and apps via TikNeuron for video analysis.
The TikTok MCP integrates TikTok access into Claude AI and other apps via TikNeuron. This TikTok MCP allows you to
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.Description:
Get the details of a TikTok post. Returns the details of the video like:
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 7409731702890827041Description:
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 paginationFor this TikTok MCP, you need
git clone https://github.com/Seym0n/tiktok-mcp.git
npm install
npm run build
This creates the file build\index.js
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"
}
}
}
}