Skip to main content
Glama

get_video_info

Retrieve video metadata from YouTube URLs to extract and process transcripts for integration with Goose CLI or Desktop applications.

Instructions

Retrieves the video information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the YouTube video

Implementation Reference

  • The MCP tool handler function for 'get_video_info', decorated with @mcp.tool(), which delegates to the _get_video_info helper.
    @mcp.tool() def get_video_info( ctx: Context[ServerSession, AppContext], url: str = Field(description="The URL of the YouTube video"), ) -> VideoInfo: """Retrieves the video information.""" return _get_video_info(ctx.request_context.lifespan_context, url)
  • Cached helper function that performs the core logic of extracting video information using yt_dlp and constructing the VideoInfo object.
    @lru_cache def _get_video_info(ctx: AppContext, video_url: str) -> VideoInfo: res = ctx.dlp.extract_info(video_url, download=False) upload_date, duration = _parse_time_info(res["upload_date"], res["timestamp"], res["duration"]) return VideoInfo( title=res["title"], description=res["description"], uploader=res["uploader"], upload_date=upload_date, duration=duration, )
  • Pydantic BaseModel defining the output schema for the get_video_info tool.
    class VideoInfo(BaseModel): """Video information.""" title: str = Field(description="Title of the video") description: str = Field(description="Description of the video") uploader: str = Field(description="Uploader of the video") upload_date: AwareDatetime = Field(description="Upload date of the video") duration: str = Field(description="Duration of the video")

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jkawamoto/mcp-youtube-transcript'

If you have feedback or need assistance with the MCP directory API, please join our Discord server