mcp-youtube-intelligence
Provides an MCP server (stdio-based) and CLI to extract YouTube video metadata/transcripts, generate token-optimized summaries, perform topic segmentation and entity extraction, analyze comments with sentiment, and support channel monitoring, playlist analysis, search, and batch operations. Optional LLM providers (local via Ollama/vLLM/LM Studio, or cloud via OpenAI/Anthropic/Google) power the summarization/enrichment steps with a fallback to extractive summarization.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Communication with the MCP server is described as stdio (local), but no security controls (authn/authz, transport/TLS for any network calls, or input hardening) are documented. LLM provider credentials are configured via environment variables. The dependency list includes common libraries (yt-dlp, feedparser, aiosqlite); no explicit vulnerability management or pinning/CVE posture is provided in the provided materials.
⚡ Reliability
Best When
You want structured YouTube intelligence with an agent-friendly MCP interface and you can run local or provide cloud LLM credentials, while benefiting from server-side transcript processing to reduce LLM token usage.
Avoid When
You need well-documented operational guarantees (SLA, pagination semantics, strict rate-limit contracts) or you cannot supply/handle LLM credentials for the enrichment features.
Use Cases
- • Generate concise summaries from YouTube transcripts for LLM context constraints
- • Extract entities and topics from videos for downstream knowledge extraction
- • Analyze viewer comments for sentiment and reaction themes
- • Monitor a channel for new activity via RSS-style checks
- • Search within previously stored transcripts
- • Batch processing of multiple video IDs for intelligence workflows
Not For
- • Real-time guarantees or low-latency production streaming use cases
- • Use where YouTube transcripts must be retrieved under strict contractual/availability constraints without fallbacks
- • Security-sensitive environments requiring formally specified threat models and audit artifacts for this exact package
Interface
Authentication
The MCP/CLI itself is described as locally configured via env vars. No user-facing OAuth scopes or auth for accessing the MCP server are documented in the README content provided.
Pricing
No pricing tiers are described; only the optional LLM providers imply cost.
Agent Metadata
Known Gotchas
- ⚠ LLM-based summarization may fail; documentation states an extractive fallback is used, but details of error recovery/retry are not specified.
- ⚠ YouTube URLs should be quoted in zsh due to '?' character handling (CLI gotcha).
- ⚠ Requires yt-dlp availability for transcript extraction; missing yt-dlp can cause failures.
- ⚠ For MCP via stdio, agents must launch the MCP server using the provided command (e.g., uvx) and pass required environment variables.
Alternatives
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Scores are editorial opinions as of 2026-03-30.