YouTube Transcript AI extracts video transcripts and subtitles from YouTube URLs, enabling AI agents to summarize videos, search spoken content, retrieve timestamps, and analyze educational videos, interviews, podcasts, and tutorials without watching them in full.
The fastmcp library is a Python client for MCP servers. Use it to call MewCP tools from your own scripts and services.
This guide connects YouTube Transcript AI MCP to Python through MewCP, so Python can use YouTube Transcript AI MCP's 1 tool, like get_youtube_transcript.
YouTube Transcript AI MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
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Other clients
YouTube Transcript AI MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact YouTube Transcript AI MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key.
Fetch the full text transcript of a YouTube video. Accepts a YouTube URL (watch, youtu.be, shorts, embed) or a bare 11-character video ID, and returns the transcript as plain text with title and metadata. Optionally pass a BCP-47 language code to select a specific caption track.
