web-summary

name	web-summary
description	Summarise a single web page or YouTube video into short/medium/long notes and extract semantic topic links for Logseq or Obsidian. Trigger when the user says "summarise this URL/article/video", "get the YouTube transcript", "pull the key points from this page", or "make Logseq/Obsidian topic links from this". Runs an MCP FastMCP server that scrapes the URL and summarises via the Ontology Loom facade (model-swappable LLM door). NOT for interactive browser automation (use browser/playwright), NOT for multi-URL comparison or structured extraction (use web-researcher scrape_page or the browser sidecar), NOT for broad multi-source cited web search (use perplexity-research/web-researcher), and NOT for text you already hold locally (summarise it directly).
version	2.1.0
author	agentbox-claude
mcp_server	true
protocol	fastmcp
entry_point	mcp-server/server.py
dependencies	["httpx","youtube-transcript-api"]

Web Summary Skill

Single-URL content summarisation and topic extraction via a FastMCP server. It fetches the page (or YouTube transcript) and summarises it through the Ontology Loom facade — the load-bearing, model-swappable LLM door (agentbox ADR-051). The former Z.AI service on port 9600 is retired; see references/architecture.md.

When to use

• Summarise one web article, blog post, or documentation page
• Extract and summarise a YouTube video transcript
• Generate semantic topic links for note-taking (Logseq, Obsidian)
• Produce short, medium, or long summaries; extract key concepts from text

When not to use

• Interactive browser automation (clicking, filling forms, live scraping) — use the browser or playwright skills.
• Multi-URL comparison or structured data extraction from URLs — use web-researcher (scrape_page / search_and_scrape) or the browser sidecar for JS-rendered pages.
• Broad, multi-source web search with citations — use perplexity-research or web-researcher.
• Content you already have as local text — summarise it directly without this pipeline.

Tools

Tool	Description
summarize_url	Summarise content from any single URL (web or YouTube)
youtube_transcript	Extract full transcript from a YouTube video
generate_topics	Generate semantic topic links from text
health_check	Verify Ontology Loom facade connectivity

Examples

# Summarise a web article
summarize_url({
    "url": "https://example.com/article",
    "length": "medium",
    "include_topics": True,
    "format": "logseq"
})

# Get a YouTube transcript
youtube_transcript({: , : })


generate_topics({: , : , : })