MCP server

엔차 · 오래 버틴 맛집

app.ncha/encha

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Korean long-running restaurants (Seoul, Gyeonggi) from public license records, not reviews.

Working at last checkVerified publisher: ncha.appAbout 502 tokens per request once connected4 tools

https://ncha.app/mcp

At a glance

Type: MCP server
Publisher: ncha.app (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 502 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http encha https://ncha.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.encha]
url = "https://ncha.app/mcp"

Gemini CLI

{"mcpServers":{"encha":{"httpUrl":"https://ncha.app/mcp"}}}

Cursor

{"mcpServers":{"encha":{"url":"https://ncha.app/mcp"}}}

VS Code

{"servers":{"encha":{"type":"http","url":"https://ncha.app/mcp"}}}

Antigravity

agy mcp add encha https://ncha.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"encha","server_url":"https://ncha.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"encha","server_url":"https://ncha.app/mcp"}

find_long_running_restaurants ~273 tokens
지역·동·메뉴로 같은 자리에서 오래 영업 중인 음식점을 찾습니다(공공 인허가 기록 기준, 별점 없음). "동탄 국밥 맛집", "오산 노포", "평택 서정동 중국집", "마포 노포"처럼 맛집·노포·오래된 식당을 찾거나 맛집 글을 쓸 때 쓰세요. 경기도 31개 시·군(화성 동탄은 "동탄"으로 따로)과 서울 25개 구를 다룹니다.
find_restaurants_near ~132 tokens
위도·경도 주변(기본 800m, 걸어서 10분)에서 오래 영업 중인 음식점을 햇수 순으로 찾습니다. 경기도·서울 안에서만 찾습니다(지도 좌표를 채운 가게만, 서울은 채우는 중).
get_restaurant ~63 tokens
가게 id로 주소, 영업 햇수, 인허가 기록(최초·승계·재신고), 확인할 점을 봅니다.
list_regions ~34 tokens
엔차가 다루는 지역과 동 목록, 가게 수를 봅니다.

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