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.
Cursor is an AI-first code editor. It loads MCP servers from its settings and lets its agent call their tools as part of a task.
This guide connects YouTube Transcript AI MCP to Cursor through MewCP, so Cursor 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.
More apps
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Manage YouTube content including videos, channels, playlists and creator operations. Search content, organize media, publish updates and interact with YouTube resources programmatically.
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.
A browser window opens the first time the client connects. Sign in and approve access. No API key needed.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
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.
