mcp-youtube-intelligence
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | API token from Apify Console | |
| GEMINI_API_KEY | Yes | API key from Google AI Studio | |
| YOUTUBE_API_KEY | Yes | YouTube Data API v3 key from Google Cloud Console |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_channelA | Analyze a YouTube channel and return a JSON object with: channel_id, channel_title, channel_url, sample_video_ids[], videos_analyzed (count of videos fetched from playlist), transcripts_available (count with actual caption content), topics[] (top keyword frequencies across all transcripts), topics_structured[] (per-video semantic analysis — each entry has video_id/theme/entities[]/tags[]), note (which analysis mode ran), and optional output_path (local artifact path). Requires YOUTUBE_API_KEY and APIFY_TOKEN; set GEMINI_API_KEY for topics_structured semantic analysis (falls back to keyword-only when absent). Supported channel inputs: @handle (e.g. @fireship), youtube.com/@handle URL, /channel/UC... URL, bare 24-char UCxxxxxx ID, or legacy /c/ and /user/ URLs. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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