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An MCP server retrieving transcripts of YouTube videos
An MCP server retrieving transcripts of YouTube videos
Valid MCP server (3 strong, 3 medium validity signals). 1 code issue detected. 6 known CVEs in dependencies (0 critical, 4 high severity) Imported from the Official MCP Registry. Trust signals: trusted author (4/4 approved). 1 finding(s) downgraded by scanner intelligence.
9 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-jkawamoto-mcp-youtube-transcript": {
"args": [
"mcp-youtube-transcript"
],
"command": "uvx"
}
}
}From the project's GitHub README.
This 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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