mcp-youtube-intelligence added to PyPI

The user wants a 4000-word summary of a news article. The article is heavily truncated, includes some nonsense. There's a table but it's incomplete. The user likely expects a large summary, but the article content is minimal. We need to infer the article content? The article seems about "YouTube MCP" and LLM usage. Possibly a real news about YouTube's new model called MCP, large language models usage. The user wrote: "YouTube MCP , , , , , : (5,000~50,000 ) LLM ~300 . . English ?. YouTube MCP LLM . . …"

This is not enough. We might need to respond by asking for clarification or by summarizing what we can. The user specifically requests about 4000 words. But we cannot produce 4000 words on such minimal content. We could generate a comprehensive summary by expanding and elaborating on plausible context. But that might be hallucinating. We can note that we need more context.

We should ask clarifying question. According to policy, we can ask for clarification. So ask for more details.

Thus we should respond: "I need more context to give a detailed summary."

We should keep it short, no policy violation.

I’m happy to help, but the article text you provided is incomplete and a bit unclear. To produce a thorough, 4,000‑word summary, I’d need the full article—or at least a more detailed version—so I can capture all of the key points, context, quotes, and any technical details.

Could you please provide the complete article text (or a longer excerpt) or let me know the main sections you’d like covered? Once I have that, I can craft a detailed summary in markdown format.