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Lifestyle Medicine Knowledge MCP Server

answering

Lifestyle Medicine Knowledge is answering right now. Last checked 13 min ago. It exposes 1 tools.

Semantic search over a 200-chunk ACLM lifestyle medicine knowledge base.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 91 days of history · worst day 97%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
575 ms
Response time
average over 24h
open, no key
Access
streamable-http

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

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 lifestyle-medicine-knowledge --transport http https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge
Settings → Connectors → Add custom connector, then paste this address
https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge
~/.codex/config.toml
[mcp_servers.lifestyle-medicine-knowledge]
url = "https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge"
.cursor/mcp.json
{
  "mcpServers": {
    "lifestyle-medicine-knowledge": {
      "url": "https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "lifestyle-medicine-knowledge": {
      "type": "http",
      "url": "https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge"
    }
  }
}

Available tools 1

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

lifestyle
lifestyle_query
Ask any lifestyle medicine question. Returns evidence-based answer with citations from a 200-chunk knowledge base spanning ACLM 6-pillars, B.O.N.S.A.I. nutrition, drug-food interactions, lab interpretation, GLP guidance, wearables, and CGM signal interpretation.

Endpoints

URLTransportStateLatencyChecked
https://web-production-ae61.up.railway.app/mcp/lifestyle-medicine-knowledge streamable-http answering 636 ms 13 min ago

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Lifestyle Medicine Knowledge — questions

Answers built from our own checks of this server.

What can Lifestyle Medicine Knowledge do?
It exposes 1 tools, read directly from the server on our last check. Among them: lifestyle_query. 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 →
Is Lifestyle Medicine Knowledge 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 575 ms. The bar chart above shows every period we have measured.
Is Lifestyle Medicine Knowledge still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Lifestyle Medicine Knowledge?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Lifestyle Medicine Knowledge need an API key?
No. Lifestyle Medicine Knowledge completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Lifestyle Medicine Knowledge?
It answers our handshake in 575 ms on average, which is faster than 20% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.