Schema | yt-analysis-mcp

yt-analysis-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GEMINI_API_KEY`	Yes	Your Gemini API key from Google AI Studio

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
summarize_videoB	Summarize a YouTube video's content. Returns a text summary based on the specified detail level.
ask_about_videoC	Ask a specific question about a YouTube video's content. Returns an answer based on the video.
extract_screenshotsA	Extract key screenshots from a YouTube video at important moments. Uses AI to identify visually significant timestamps, then extracts frames. Returns both base64 images and optionally saves to disk.
get_video_timestampsA	Preview mode: Use AI to identify important moments in a YouTube video and return their timestamps WITHOUT extracting frames. Use this to preview what timestamps would be selected before committing to extraction.
extract_framesA	Extract frames from a YouTube video at specific timestamps you provide. Use this when you already know the exact timestamps you want (e.g., from get_video_timestamps or video summary).

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Legorobotdude/yt-analysis-mcp'

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