MCP YouTube Intelligence
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MYI_YT_DLP | No | Path to the yt-dlp executable | yt-dlp |
| MYI_STORAGE | No | Storage backend: sqlite or postgres | sqlite |
| MYI_DATA_DIR | No | Data directory | ~/.mcp-youtube-intelligence |
| GOOGLE_API_KEY | No | Google API key | |
| MYI_VLLM_MODEL | No | vLLM model name | |
| OPENAI_API_KEY | No | OpenAI API key | |
| MYI_SQLITE_PATH | No | SQLite database path | {DATA_DIR}/data.db |
| MYI_GOOGLE_MODEL | No | Google model to use | gemini-2.0-flash |
| MYI_LLM_PROVIDER | No | LLM provider to use: auto, openai, anthropic, google, ollama, vllm, lmstudio | auto |
| MYI_MAX_COMMENTS | No | Maximum number of comments to process | 20 |
| MYI_OLLAMA_MODEL | No | Ollama model name | llama3.1:8b |
| MYI_OPENAI_MODEL | No | OpenAI model to use | gpt-4o-mini |
| MYI_POSTGRES_DSN | No | PostgreSQL DSN | |
| ANTHROPIC_API_KEY | No | Anthropic API key | |
| MYI_VLLM_BASE_URL | No | vLLM base URL | http://localhost:8000 |
| MYI_LMSTUDIO_MODEL | No | LM Studio model name | |
| MYI_ANTHROPIC_MODEL | No | Anthropic model to use | claude-sonnet-4-20250514 |
| MYI_OLLAMA_BASE_URL | No | Ollama base URL | http://localhost:11434 |
| MYI_LMSTUDIO_BASE_URL | No | LM Studio base URL | http://localhost:1234 |
Instructions
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.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_videoB | Get video metadata + summary (~300 tokens). Provide a YouTube video ID. |
| get_transcriptA | Get video transcript. mode: 'summary' (default, ~300 tokens), 'full' (saves to file, returns path), 'chunks' (split into segments). |
| get_commentsC | Get top comments for a video. Optionally summarize them. |
| monitor_channelB | Monitor a YouTube channel via RSS. action: 'add' (subscribe), 'check' (poll for new videos), 'list' (show subscriptions), 'remove' (unsubscribe). |
| search_transcriptsB | Search stored transcripts by keyword. Returns matching snippets. |
| extract_entitiesC | Extract structured entities (companies, indices, people, sectors, etc.) from a video transcript. |
| segment_topicsC | Segment a video transcript into topics based on transition markers. |
| search_youtubeB | Search YouTube videos by keyword. Returns metadata list (~200 tokens). |
| get_playlistC | Get playlist metadata and video list from a YouTube playlist. |
| generate_reportB | Generate a structured markdown report for a YouTube video. Includes summary, topic segments, entities, and optionally comments. |
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/JangHyuckYun/mcp-youtube-intelligence'
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