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KTRENZ K-Data MCP Server

answering

KTRENZ K-Data is answering right now. Last checked 9 min ago. It exposes 4 tools.

K-pop artists and releases: search, trending by 7-day velocity, and AI answer-engine reach.

Uptime history 79 days of history · worst day 95%
79 days agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
593 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check KTRENZ K-Data every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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 9 min ago.

run in your terminal
claude mcp add kdata --transport http https://ktrenz.com/api/mcp
Settings → Connectors → Add custom connector, then paste this address
https://ktrenz.com/api/mcp
~/.codex/config.toml
[mcp_servers.kdata]
url = "https://ktrenz.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "kdata": {
      "url": "https://ktrenz.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "kdata": {
      "type": "http",
      "url": "https://ktrenz.com/api/mcp"
    }
  }
}

Available tools 4

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

artist
get_artist_reach
An artist's measured reach across AI answer engines (which vendors cite them, answer-time vs training) + tracked releases + external demand (Naver + YouTube) with 7d momentum. Measured first-party by KTRENZ.
kdata
search_kdata
Search KTRENZ K-pop / K-culture entities (artists) by name; returns matches with slugs + reach-map URLs. Use the slug with get_artist_reach or get_release_reach.
release
get_release_reach
A specific release's (comeback / MV / tour / chart announcement) measured AI-citation reach across answer engines. Measured first-party by KTRENZ.
trending
get_trending
Top rising K-pop artists right now, ranked by 7-day VELOCITY (rate of change), not standing popularity. Blends Korea search momentum, YouTube upload traction, third-party media pickup and fan-challenge volume — all external to KTRENZ. Rank is the signal.

Endpoints

URLTransportStateLatencyChecked
https://ktrenz.com/api/mcp streamable-http answering 931 ms 9 min ago

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KTRENZ K-Data — questions

Answers built from our own checks of this server.

What can KTRENZ K-Data do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_artist_reach, get_release_reach, get_trending, search_kdata. 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 KTRENZ K-Data 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 593 ms. The bar chart above shows every period we have measured.
How do I connect KTRENZ K-Data?
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 KTRENZ K-Data need an API key?
No. KTRENZ K-Data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is KTRENZ K-Data?
It answers our handshake in 593 ms on average, which is faster than 18% 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.