io.github.jkawamoto/mcp-youtube-transcript MCP Server
io.github.jkawamoto/mcp-youtube-transcript
Retrieve transcripts and metadata from YouTube videos with language support and pagination.
What is the io.github.jkawamoto/mcp-youtube-transcript MCP server?
The YouTube Transcript MCP server retrieves transcripts, metadata, and available languages for YouTube videos. It provides tools to fetch transcripts with or without timestamps, supports multiple languages, and handles pagination for long videos.
This server lets you extract full transcripts from YouTube videos programmatically. It's useful for analyzing video content, creating summaries, searching within videos, or building applications that need access to video text. It handles large transcripts by splitting them into manageable chunks and supports multiple languages.
How to install io.github.jkawamoto/mcp-youtube-transcript
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
get_transcript— Fetches the transcript of a YouTube video. Accepts video URL, optional language code (defaults to 'en'), and optional pagination cursor.get_timed_transcript— Fetches the transcript of a YouTube video with timestamps. Accepts video URL, optional language code, and optional pagination cursor.get_video_info— Fetches metadata of a YouTube video including title, description, and other details.get_available_languages— Retrieves the list of available languages for a given YouTube video's transcript.
Use cases
- Extract and analyze the full text of YouTube videos for research or content review
- Create searchable transcripts of educational or instructional videos
- Generate summaries or highlights from video content without watching
- Build applications that need programmatic access to video transcripts in multiple languages
- Retrieve video metadata and available subtitle languages for a given URL
io.github.jkawamoto/mcp-youtube-transcript MCP server FAQ
It retrieves transcripts, metadata, and available languages for YouTube videos. You can fetch transcripts with or without timestamps, in multiple languages, with automatic pagination for long videos.
Yes, the server is open-source and free. It uses the YouTube Transcript API to fetch publicly available transcripts.
Download the latest `.mcpb` file from the Releases page and open it in Claude Desktop, or manually add the configuration to your `claude_desktop_config.json` file using the `uvx` command.
No authentication is required. The server accesses publicly available YouTube transcripts directly.
Transcripts exceeding 50,000 characters are automatically split into pages. Use the `next_cursor` value returned in the response to fetch subsequent pages.
Yes, the server supports proxy servers including Webshare residential proxies and standard HTTP/HTTPS proxies via environment variables or command-line arguments.
README (reference)
Source of truth, from the repository.
YouTube Transcript MCP Server
This MCP server retrieves transcripts for given YouTube video URLs.
Tools
This MCP server provides the following tools:
get_transcript
Fetches the transcript of a specified YouTube video.
Parameters
- url (string): The full URL of the YouTube video. This field is required.
- lang (string, optional): The desired language for the transcript. Defaults to
enif not specified. - next_cursor (string, optional): Cursor to retrieve the next page of the transcript.
get_timed_transcript
Fetches the transcript of a specified YouTube video with timestamps.
Parameters
- url (string): The full URL of the YouTube video. This field is required.
- lang (string, optional): The desired language for the transcript. Defaults to
enif not specified. - next_cursor (string, optional): Cursor to retrieve the next page of the transcript.
get_video_info
Fetches the metadata of a specified YouTube video.
Parameters
- url (string): The full URL of the YouTube video. This field is required.
get_available_languages
Retrieves the available languages for the video.
Parameters
- url (string): The full URL of the YouTube video. This field is required.
Installation
[!NOTE] You'll need
uvinstalled on your system to useuvxcommand.
For goose
Please refer to this tutorial for detailed installation instructions: YouTube Transcript Extension.
For Claude
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.
</details>For more information, see: Connect to local MCP servers - Model Context Protocol..
For LM Studio
To configure this server for LM Studio, click the button below.
Using Docker
A Docker image for this server is available on Docker Hub. Please refer to the Docker Hub page for detailed usage instructions and documentation.
Response Pagination
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"
]
}
}
}
Using Proxy Servers
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.
License
This application is licensed under the MIT License. See the LICENSE file for more details.
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