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Korea Nationwide Data MCP Server

answering

Korea Nationwide Data is answering right now. Last checked moments ago. It exposes 6 tools. Last commit 10 Sep 2026.

Nationwide Korea: bus stops in 138 cities, 30-year climate normals, tourism (KR/EN).

Uptime history 14 days of history · worst day 95%
14 days agonow
96.7%
Uptime 24h
89 of 92 checks
6
Tools
read from the server
84 ms
Response time
average over 24h
0
Stars
last commit 10 Sep 2026

Korea Nationwide Data does not always answer

Over the last week it answered 98.4% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

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 0 min ago.

run in your terminal
claude mcp add korea-data-mcp --transport http https://korea-data-mcp.picks-site.workers.dev/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "korea-data-mcp": {
      "url": "https://korea-data-mcp.picks-site.workers.dev/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.korea-data-mcp]
url = "https://korea-data-mcp.picks-site.workers.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "korea-data-mcp": {
      "url": "https://korea-data-mcp.picks-site.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "korea-data-mcp": {
      "url": "https://korea-data-mcp.picks-site.workers.dev/mcp"
    }
  }
}

Available tools 6

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

korea
korea_area_codes
한국관광공사 지역코드 목록. 다른 관광 도구의 areaCode 인자에 쓴다.
korea_bus_cities
시내버스 정보를 제공하는 한국 도시코드 목록.
korea_bus_stops
한국 시내버스 정류소를 도시별로 검색한다(국토교통부 TAGO). 정류소명 일부로 찾고 좌표를 돌려준다.
korea_tour_search
한국관광공사 국문 관광정보에서 관광지·음식점·숙박·축제를 키워드 또는 지역으로 검색한다. 실데이터(주소·좌표·전화·사진)를 반환한다.
korea_tour_search_en
Search Korean tourist attractions, restaurants and accommodations in ENGLISH (Korea Tourism Organization official English dataset). Use this when the user is not Korean-speaking or wants English place names.
korea_weather_normals
한국 기상 평년값(1991~2020, 30년) — 지점별 월평균기온·월평균최고·월평균최저. "그 지역 10월이 보통 몇 도인가" 같은 질문에 쓴다. 예보가 아니라 평년 통계다.

Endpoints

URLTransportStateLatencyChecked
https://korea-data-mcp.picks-site.workers.dev/mcp streamable-http answering 103 ms 0 min ago

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Korea Nationwide Data — questions

Answers built from our own checks of this server.

What can Korea Nationwide Data do?
It exposes 6 tools, read directly from the server on our last check. Among them: korea_area_codes, korea_bus_cities, korea_bus_stops, korea_tour_search, korea_tour_search_en, korea_weather_normals. 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 Korea Nationwide Data working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 89 of 92 checks got a reply (96.7%), average response time 84 ms. The bar chart above shows every period we have measured.
How do I connect Korea Nationwide Data?
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 Korea Nationwide Data need an API key?
No. Korea Nationwide Data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Korea Nationwide Data?
It answers our handshake in 84 ms on average, which is faster than 86% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Korea Nationwide Data open source?
Yes — it is published under the MIT licence, written in JavaScript 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.