The YouTube Transcript MCP server retrieves transcripts and metadata from YouTube videos, providing tools to fetch transcripts with or without timestamps, extract video information, and discover available languages for a given video URL. It solves the problem of accessing YouTube video content in text form for analysis, searching, and integration into AI workflows without requiring manual transcription or API complexity.
Public tool metadata for what this MCP can expose to an agent.
search.listFetch the full text transcript of a YouTube video. Returns timestamped segments suitable for summarization or Q&A.2 paramsFetch the full text transcript of a YouTube video. Returns timestamped segments suitable for summarization or Q&A.
vstringlanguage_codestringThis MCP server retrieves transcripts for given YouTube video URLs.
This MCP server provides the following tools:
get_transcriptFetches the transcript of a specified YouTube video.
en if not specified.get_timed_transcriptFetches the transcript of a specified YouTube video with timestamps.
en if not specified.get_video_infoFetches the metadata of a specified YouTube video.
get_available_languagesRetrieves the available languages for the video.
[!NOTE] You'll need
uvinstalled on your system to useuvxcommand.
Please refer to this tutorial for detailed installation instructions: YouTube Transcript Extension.
Download the latest MCP bundle mcp-youtube-transcript.mcpb from
the Releases page,
then open the downloaded .mcpb file or drag it into the Claude Desktop's Settings window.
You can also manually configure this server for Claude Desktop.
Edit the claude_desktop_config.json file by adding the following entry under
mcpServers:
{
"mcpServers": {
"youtube-transcript": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-youtube-transcript",
"mcp-youtube-transcript"
]
}
}
}
After editing, restart the application.
For more information, see: Connect to local MCP servers - Model Context Protocol..
To configure this server for LM Studio, click the button below.
A Docker image for this server is available on Docker Hub. Please refer to the Docker Hub page for detailed usage instructions and documentation.
When retrieving transcripts for longer videos, the content may exceed the token size limits of the LLM.
To avoid this issue, this server splits transcripts that exceed 50,000 characters.
If a transcript is split, the response will include a next_cursor.
To retrieve the next part, include this next_cursor value in your request.
The token size limits vary depending on the LLM and language you are using.
If you need to split responses into smaller chunks,
you can adjust this using the --response-limit command line argument.
For example, the configuration below splits responses to contain no more than 15,000 characters each:
{
"mcpServers": {
"youtube-transcript": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-youtube-transcript",
"mcp-youtube-transcript",
"--response-limit",
"15000"
]
}
}
}
In environments where access to YouTube is restricted, you can use proxy servers.
When using Webshare, set the username and password for the Residential Proxy using either
the environment variables WEBSHARE_PROXY_USERNAME and WEBSHARE_PROXY_PASSWORD,
or the command line arguments --webshare-proxy-username and --webshare-proxy-password.
When using other proxy servers, set the proxy server URL using either the environment variables HTTP_PROXY or
HTTPS_PROXY, or the command line arguments --http-proxy or --https-proxy.
For more details, please visit: Working around IP bans - YouTube Transcript API.
This application is licensed under the MIT License. See the LICENSE file for more details.
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