robotbase-content

Name: robotbase-content
Author: wygogogo19

MCP serverMCP

Agent MCP: 35 tools — social hot lists, attention trends, 80k+ books, 17 web tools.

by wygogogo19repository ↗homepage ↗v0.32.0

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Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability10/10 checks ok

30 days ago

Tools observed via MCP handshake

web_search — Search the live web and get ranked results with title, URL, snippet and published date. When to use: an agent needs current facts, news or links that are not on
web_fetch — Fetch one public web page and return its readable text as clean markdown or plain text, with navigation, scripts, headers and footers stripped. When to use: you
web_screenshot — Capture a screenshot of one public web page as an image (JPEG) plus metadata. When to use: visual layout matters - a dashboard, chart, UI state, or 'what does t
web_map — Discover the URLs of one site - sitemap first, then same-host links from the homepage. When to use: you need the list of pages a site exposes before fetching a
web_fetch_batch — Fetch up to 5 public URLs in one call and return each page's title, engine and a short snippet (first ~1200 characters), so an agent can triage several links qu
web_feed — Read an RSS or Atom feed and return its latest items. When to use: the user wants the latest posts/news from a site that publishes a feed, or you found a feed U
web_metadata — Extract a page's structured metadata: Open Graph, Twitter cards, canonical URL, language and JSON-LD. When to use: you need the title/description/author/image o
web_crawl — Crawl one site's same-host pages starting from a URL (depth 1-2, at most 20 pages) and return each page's title, URL and readable text. When to use: you need se
web_extract — Extract structured data from one public page: tables (headers + rows), JSON-LD blocks, and Open Graph/Twitter/canonical/language metadata. When to use: the page
web_act — Drive a real Chromium browser on one public page: click, type, press keys, scroll, wait for selectors, then return the resulting text (and optionally a screensh
web_crawl_async — Submit a same-host crawl as an asynchronous job and return a job_id immediately. When to use: you need more than a couple of pages and cannot hold a long HTTP r
web_crawl_job — Check or cancel an asynchronous crawl job created by web_crawl_async. When to use: after web_crawl_async, poll with action=status until status is done/failed/ca
web_extract_schema — Extract a page's structured data into a named schema's common fields (no LLM): article, product, event, faq, recipe, course, organization, local_business, bread
web_diff — Fetch a page now and compare it with the previous snapshot of the same URL, returning whether it changed and a unified diff (no LLM). When to use: monitoring a
web_monitor_set — Create a scheduled change monitor for one public URL: the server re-fetches the page on an interval, stores a new snapshot and records a diff event whenever the
web_monitor_list — List the scheduled change monitors owned by the calling IP, with latest/next check time, last title or error, and the 5 most recent change events. When to use:
web_monitor_delete — Delete one scheduled change monitor owned by the calling IP (its event history is removed too). When to use: the user no longer needs to watch a page, or the pe
social_hot — Cross-platform social hot lists: Baidu, Toutiao, Douyin, Bilibili and Hacker News. When to use: what people are talking about now, content ideas, trend discover
attention_trend — Attention and search-interest signals: Google Trends RSS, Wikipedia pageviews and Google Books Ngram. When to use: is a topic rising, long-term attention, regio
cyberlibrary_book_meta — Metadata for exactly one book: title, author, genre, chapter count, word count, source URL and every access URL (HTML page, Markdown mirror, first chapter). Whe
cyberlibrary_fulltext_search — Full-text search inside the actual book text (a 26 GB corpus of chapter Markdown), returning the matching passage plus the book, chapter and canonical source UR
cyberlibrary_search_books — Search the catalog by title or author within one language, returning matching book records (title, author, lang, slug, chapter_count, word_count and URLs). When
cyberlibrary_search_passages — Ranked passage retrieval over the paragraph index (BM25). Use a natural-language or keyword query to find the most relevant passages across books, with the book
cyberlibrary_semantic_search — Semantic passage search over a neural embedding index: describe what you are looking for in natural language and get the closest passages, each with a permanent
cyberlibrary_rag_context — Retrieve ranked passages for a question and pack them into a token budget, ready to paste into an agent context. Each passage carries a permanent chunk_id, book
cyberlibrary_get_chapter — Clean Markdown of a single chapter - the recommended way to put Cyber Library text into an agent context. Chapter 0/1 are both accepted for the opening chapter.
cyberlibrary_get_markdown — Whole-book Markdown mirror, including the book's own metadata header and summary. When to use: you need the complete text and have checked chapter_count/word_co
cyberlibrary_catalog_index — Every language catalog in Cyber Library with item counts and the corpus generation date. When to use: first call in any session - it tells you which languages e
cyberlibrary_get_toc — Table of contents for one book: ordered chapters with their real titles. When to use: right after cyberlibrary_book_meta, to pick which chapter to read; this is
cyberlibrary_cite — Ready-to-paste citation for one book: title, author, canonical page URL, Markdown URL, license and the public-domain territory notice. When to use: before quoti
cyberlibrary_verify_quote — Verify whether a quotation actually occurs in the Cyber Library corpus and return the exact passage, book, chapter, permanent chunk_id and citation. When to use
cyberlibrary_get_chunks — Stable paragraph-level chunks for one book, each with a permanent chunk_id (lang:slug:chapter:para), citation text and canonical URL. When to use: you need RAG-
cyberlibrary_language_shard — One page of the book catalog for a language. Large languages are paginated (for example en = 25 pages x 2500 books); small languages are a single shard. When to
cyberlibrary_service_info — Discovery endpoints for Cyber Library: MCP endpoint, tools list, Server Card, usage stats, catalog API, llms.txt / llms-full manifest, OpenAPI and the HTML sear
cyberlibrary_search — Unified CyberLibrary search: one query, automatic language, BM25 + neural semantic fusion (RRF), returning the most relevant passages with stable chunk IDs, cit

when	check	result	http	latency	detail
3 h ago	mcp initialize	ok	200	673 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
10 h ago	mcp initialize	ok	200	722 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
18 h ago	mcp initialize	ok	200	784 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
26 h ago	mcp initialize	ok	200	1233 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
33 h ago	mcp initialize	ok	200	739 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
2 d ago	mcp initialize	ok	200	412 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
2 d ago	mcp initialize	ok	200	684 ms	server robotbase-mcp-content 0.32.2 · protocol 2025-06-18 · 35 tools
2 d ago	mcp initialize	ok	200	645 ms	server robotbase-mcp-content 0.32.0 · protocol 2025-06-18 · 35 tools
3 d ago	mcp initialize	ok	200	839 ms	server robotbase-mcp-content 0.32.0 · protocol 2025-06-18 · 35 tools
3 d ago	mcp initialize	ok	200	730 ms	server robotbase-mcp-content 0.32.0 · protocol 2025-06-18 · 35 tools

robotbase-content

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