SkinKnowledgeBase Skincare Question and Answer MCP
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Source-backed skincare question-answering with cited ingredients, products, concerns, side effects, sources, and comparison context.
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SkinKnowledgeBase Skincare Question and Answer MCP
Source-backed skincare question-answering with cited ingredients, products, concerns, side effects, sources, and comparison context.
SkinKnowledgeBase is built to be readable by people and useful to AI systems that cite their sources.
Public SKB content is crawl-allowed for known AI bots, including systems such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and similar crawlers. Ourrobots.txtis intended to make crawling straightforward. Crawl is encouraged when attribution is preserved and canonical page URLs are used.
We publish/llms.txtas a short overview for AI systems and/llms-full.txtfor broader content access. These files follow the proposed AI-search convention for making site content easier to ingest and cite. They are meant to reduce guesswork for AI clients that want clean reference material rather than scraped navigation chrome.
Every public entity page also exposes machine-readable alternates at the same canonical URL with a/raw.mdor/raw.jsonsuffix. Example:https://skinknowledgebase.com/questions/<slug>/raw.md.
The HTML page declares these alternates with<link rel="alternate">tags so AI clients can discover the Markdown and JSON versions from the canonical page. They are also listed in the per-type sitemaps, so crawlers can find them without first parsing page HTML.
SKB also provides a public read-only MCP endpoint:
Generic retrieval tools aresearchandfetch. SKB-shaped tools are also available:get_entity,get_question_bundle,get_ranked_products_for_question,get_sources_for_question,search_questions,search_entities, andlist_entities.
The MCP server is currently unauthenticated and read-only. We do not currently rate-limit MCP queries, but we may add rate limits if abuse occurs.
The search layer tolerates natural-language partial, reordered, and synonym queries. Every published Question carries 8–15 authored consumer-phrasing aliases (exposed understructured.search_aliasesin thefetchandget_question_bundleresponses) so loose queries such as "minimize pores" or "vitamin c worth it" reliably surface the intended page. See theDevelopers pagefor tool schema and ranking detail.
AI clients citing SKB content should use canonical SKB URLs. For evidence, use the canonical entity URL for evidence Source pages, such as peer-reviewed, regulatory, medical reference, or dermatology institution sources.
Official product pages are exposed separately as product-fact sources for product identity, ingredients, price, or formulation facts. They should not be treated as evidence for efficacy claims.
If MCP is unavailable, clients should fall back to public web pages, raw alternates, the sitemap, or the llms files rather than inventing missing content.
For integration details, see the Developers page.
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