mcpbeat

SkinKnowledgeBase Skincare Question and Answer MCP Server

io.github.fulcrai/skb-mcp
answering

SkinKnowledgeBase Skincare Question and Answer MCP is answering right now. Last checked 13 min ago. It exposes 10 tools. Last commit 6 Jun 2026.

Skincare Question and Answer with cited products, ingredients, sources, and comparison context.

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
10
Tools
read from the server
416 ms
Response time
average over 24h
0
Stars
last commit 6 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add skb-mcp --transport http https://mcp.skinknowledgebase.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "skb-mcp": {
      "url": "https://mcp.skinknowledgebase.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.skb-mcp]
url = "https://mcp.skinknowledgebase.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "skb-mcp": {
      "url": "https://mcp.skinknowledgebase.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "skb-mcp": {
      "url": "https://mcp.skinknowledgebase.com/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

entities
list_entities
List public SkinKnowledgeBase entities. Optional input: entity_type (Question, Concern, Ingredient, Product, SideEffect, or Source). Returns published MCP-eligible entity identifiers and metadata for discovery; it does not expose drafts or private/internal data.
search_entities
Search public SkinKnowledgeBase entities. Required input: query string. Optional inputs: type (Question, Concern, Ingredient, Product, SideEffect, Source), limit 1-25, and cursor. Returns matching public entities with slugs/IDs and canonical URLs.
ranked
get_ranked_product_for_question
Deprecated read-only alias for get_ranked_products_for_question. Required input: slug_or_id, accepting a question slug or ULID. Returns the same public supporting product context, capped at two products, without modifying anything.
get_ranked_products_for_question
Return public supporting product context for one eligible SkinKnowledgeBase Question. Required input: slug_or_id, accepting a question slug or ULID. Returns at most two relevant products with public fit/caveat context; it does not purchase, recommend as medical advice, or modify anything.
entity
get_entity
Fetch one public SkinKnowledgeBase entity. Required inputs: type (Question, Concern, Ingredient, Product, SideEffect, or Source) and slug_or_id (entity slug or ULID). Returns public entity details, canonical URL, text, and linked source/context fields where available.
fetch
fetch
Fetch one public SkinKnowledgeBase resource. Required input: id, which may be a canonical SKB URL, public comparison URL, entity ULID, slug, or accepted comparison-page identifier. Returns public read-only text and structured data such as title, canonical URL, entity type, evidence sources, product fact sources, updated_at, and public-safe comparison metadata where applicable.
question
get_question_bundle
Fetch a public SkinKnowledgeBase Question bundle. Required input: slug_or_id, accepting a question slug or ULID. Optional booleans include include_sources, include_products, and include_validation_summary. Returns the public question answer structure and requested linked public context.
questions
search_questions
Search published public SkinKnowledgeBase Question pages. Required input: query string. Optional inputs: filters for concern, ingredient, product, or side_effect; limit 1-25; cursor. Returns public question search results with identifiers and canonical URLs for follow-up retrieval.
search
search
Search public SkinKnowledgeBase content. Required input: query string. Optional inputs: entity_type (Question, Concern, Ingredient, Product, SideEffect, Source), deprecated type alias, limit 1-50, and cursor. Returns compact ranked public results with canonical URLs, snippets, matched fields, scores, and public-safe retrieval metadata. Use for skincare questions, ingredient/product lookup, cited source lookup, and comparison-page discovery.
sources
get_sources_for_question
Return public Source entities cited by one SkinKnowledgeBase Question. Required input: slug_or_id, accepting a question slug or ULID. Returns source records and canonical URLs used to support the public question page.

Endpoints

URLTransportStateLatencyChecked
https://mcp.skinknowledgebase.com/mcp streamable-http answering 424 ms 13 min ago

SkinKnowledgeBase Skincare Question and Answer MCP — questions

Answers built from our own checks of this server.

What can SkinKnowledgeBase Skincare Question and Answer MCP do?
It exposes 10 tools, read directly from the server on our last check. Among them: fetch, get_entity, get_question_bundle, get_ranked_product_for_question, get_ranked_products_for_question, get_sources_for_question and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is SkinKnowledgeBase Skincare Question and Answer MCP mostly used for?
Its tools cluster around ranked and entities. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is SkinKnowledgeBase Skincare Question and Answer MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 416 ms. The bar chart above shows every period we have measured.
How do I connect SkinKnowledgeBase Skincare Question and Answer MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does SkinKnowledgeBase Skincare Question and Answer MCP need an API key?
No. SkinKnowledgeBase Skincare Question and Answer MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is SkinKnowledgeBase Skincare Question and Answer MCP?
It answers our handshake in 416 ms on average, which is faster than 31% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is SkinKnowledgeBase Skincare Question and Answer MCP open source?
Yes — it is published under the NOASSERTION licence, written in Dockerfile and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.