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.
Hermes is Nous Research's command-line agent. MCP servers are declared in its YAML config and reloaded without a restart.
This guide connects YouTube Transcript AI MCP to Hermes through MewCP, so Hermes 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.
Edit config.yaml in your Hermes config directory (~/.hermes).
Put this under the top-level "mcp_servers:" key.
Run /reload-mcp in Hermes, or start a fresh session. Sign in when the browser window opens.
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.
