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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Mcportal

제작자: yonghwan1106버전 0.2.2i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.yonghwan1106/mcportal

설치

개요

제작자가 쓴 설명(영어 원문)

Quota-guarded MCP layer over Korean public data APIs (data.go.kr), compiled from OpenAPI specs

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 개발자 도구

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "mcportal": {
      "command": "uvx",
      "args": [
        "mcportal"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add mcportal -- uvx mcportal

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "mcportal": {
      "command": "uvx",
      "args": [
        "mcportal"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "mcportal": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcportal"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 yonghwan1106 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

개발자 도구 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 4920개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 4920개 중 34%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 4920개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Mcportal, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.2)은 3개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

GitHub

제작자: github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

컴퓨터 또는 클라우드★ 34,245MIT4일 전 업데이트
설치

Desktop Commander

제작자: wonderwhy-er

MCP server for terminal commands, file operations, and process management

내 컴퓨터에서 실행★ 10,225MIT17일 전 업데이트
설치

Cloudflare MCP

제작자: cloudflare

Cloudflare MCP servers

클라우드에서 실행★ 4,446Apache-2.014개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

MCPortal

The missing bridge between data.go.kr and the global MCP ecosystem. MCPortal normalizes Korean public-API specifications into standard OpenAPI 3.1, compiles them into MCP servers, and puts every outbound call behind a hard daily budget with backoff and caching. Fully open source, fully self-hosted.

한국어 문서: README.ko.md — this English README is the canonical document and the Korean file is a translation of it.

Accuracy disclaimer

data.go.kr publishes no "remaining quota" endpoint. MCPortal's usage ledger

therefore counts only the calls that went through MCPortal, which makes it

a best-effort estimate. Calls that the same serviceKey spends outside

MCPortal — another script, the portal console, a different tool — never reach

the ledger, so the ledger value is always a lower-bound approximation of real

consumption. The axis of trust is not that estimate but the **hard budget cap

(CALL_BUDGET)**. Even when the ledger is wrong, the hard guard physically

blocks calls beyond the daily cap, so the safety line against quota-related

account sanctions always comes from CALL_BUDGET.

The no-key boundary

Works without any API keyNeeds a data.go.kr service key
Replaying record/replay cassettesLive API calls
The full test suite (pytest), including the record-mode tests, which run on synthetic transportsLive response sampling
Standing up an MCP server from a committed spec plus its cassette (mcportal serve --replay) — from a repo checkout, or from a PyPI install pointed at one (note 1)Ad-hoc conversion of an API that has no cassette yet
Regenerating the compile demo (examples/compile_demo.py)Recording new cassettes
Regenerating and listing the preset bundles (mcportal compile / mcportal presets) — bundled in the wheel since 0.2.0 (note 1)Sampling a response schema that is still unresolved (mcportal sample)
Reading quota status (mcportal quota status)The key-dependent benchmark items K1–K3
Running the benchmark harness (the five key-free items in benchmarks/PROTOCOL.md)—

Every demo, development and CI path in MCPortal runs without a key. The record/replay layer replays cassettes that were recorded earlier, so the same response flow can be reproduced and the whole test suite can go green with no serviceKey present. Spec-to-MCP conversion has already happened at build time — the compiled artifacts are committed under specs/ — so clone the repository and even standing up an MCP server and answering tool calls needs no key: mcportal serve 15000115 --replay serves eight tools over stdio with no serviceKey anywhere in the environment.

That sentence says *clone* on purpose. Replay needs a cassette, and cassettes are recorded upstream responses that stay in the repository instead of going out in the wheel (note 1), so a bare pip install mcportal has nothing to replay until it is pointed at a checkout with --presets-root or MCPORTAL_PRESETS= . Cassettes exist for three of the four bundles — 15081808 has none in the repository either, because it was deliberately left out of sampling (see *Presets* below), so that one bundle is live-only.

What does need a key is narrow: live traffic to data.go.kr, and sampling or converting an API that has no cassette yet.

Note 1 — what the wheel carries, and what it does not.

Since 0.2.0, the published wheel carries the four preset bundles (16 bundle

files plus the two presets/ documents, measured on the built artifact), so a

plain pip install mcportal can run mcportal presets with no checkout.

Since 0.2.2 the wheel also carries the three sampled_schemas.json files

— 15000115, 15101612 and 15102108; 15081808 has none, because it was

deliberately left out of sampling. They ship because `mcportal compile

--check needs them: --check` does not diff files, it re-synthesizes

openapi.json from its source + curation + sampled layers, so without the

sampled layer an installed copy cannot reproduce the very openapi.json it

shipped. On 0.2.1 as published, compile --check from a plain install reports

3 of 4 drifted and exits 3 (measured 2026-08-15); on that version pass

--presets-root /presets. 0.2.2 restores it to 4 of 4 matched,

exit 0, from the install alone.

Those three files carry only the **field names and types inferred from the

responses** — zero response values — and that structure already ships inside

openapi.json, so nothing is exposed that the wheel did not already carry.

What the wheel still leaves out is the recorded upstream traffic itself:

`cassettes/` and `samples/` stay in the repository only, which is why

mcportal serve --replay is a checkout path. To use a different bundle set —

or to give a PyPI install the cassettes — point MCPortal at a checkout with

--presets-root or the environment variable MCPORTAL_PRESETS= .

When mcportal presets finds no bundle it prints the paths it searched.

Key-free reproduction walkthrough
# 1) Compile a spec from synthetic fixtures (zero network, zero credentials).

python examples/compile_demo.py

-> specs/demo/openapi.json + specs/demo/samples/*.json

Re-running produces byte-identical output; the determinism check is

built into the script.

2) Stand up an MCP server over stdio from a committed bundle (no key).

Needs the [mcp] extra. --replay reads presets/ /cassettes/ .json,

which exists for 15000115, 15101612 and 15102108; 15081808 has none.

mcportal serve 15000115 --replay

-> 8 tools over stdio, zero credentials. On a PyPI install add

--presets-root /presets (note 1).

#

The same thing without the CLI, against any spec plus any cassette:

python -c "from mcportal.mcp import build_server; \ build_server('specs/demo/openapi.json', mode='replay', \ cassette_path=' ')"

specs/demo/ commits the spec and the samples, not a cassette, so

must point at one you recorded yourself. That a server

really stands up and answers a tool call without a key is proven by the

last case in tests/test_mcp_wiring.py, which builds a synthetic cassette

in tmp_path. presets/ /openapi.json fits the same slot.

3) Regenerate the preset bundles from real published specs (no key).

Works from a checkout, and — since 0.2.2 started carrying the sampled

layer — from a plain pip install too (note 1). On 0.2.1 as published from

PyPI, or to point at a different bundle set, pass --presets-root

or set MCPORTAL_PRESETS= .

mcportal presets # list mcportal compile --check # byte-compare committed vs regenerated (exit 3 on drift)

4) The whole test suite (no live network, no key, no real data).

pytest -q

Install

pip install mcportal            # core runtime (single dependency: httpx)

pip install "mcportal[mcp]" # + the MCP conversion layer (fastmcp)

Dependency policy: the core runtime depends on httpx and nothing else. The spec-normalizing compiler (mcportal.compiler) uses only the standard library and httpx. fastmcp is required solely by mcportal.mcp and ships as the optional [mcp] extra — without it, import mcportal and the entire test suite still work, and calling into the MCP layer raises a Korean ImportError that explains how to install it. The [mcp] extra also declares anyio, because the sync-to-async bridge imports anyio.to_thread directly; httpx pulls anyio in transitively, but a direct import deserves a direct declaration so that pins and lockfiles constrain it.

import mcportal does not import mcportal.mcp — that is what keeps the import working without fastmcp installed. The MCP symbols are resolved lazily on first attribute access through a module __getattr__ (PEP 562), so from mcportal.mcp import build_server and mcportal.build_server refer to the same object. Either spelling is fine.

Single-key principle (no multi-key rotation)

MCPortal's data.go.kr profile does not support multi-key rotation. data.go.kr issues one key per development account and meters a daily call limit against it; cycling several keys to escape that limit risks violating the service's operating policy and inviting account sanctions. MCPortal respects the structure as it is and accepts a single key. When the limit is too low, the supported answer is data.go.kr's own path — registering a use case and applying for the operational tier — not more keys.

CLI

The CLI uses the standard library argparse only. Zero new runtime dependencies is a binding rule for this project, so even the terminal tables are laid out by hand (Hangul counted as double width, ASCII rules, safe on a Windows cp949 console).

mcportal quota status [--ledger PATH] [--budget N] [--day YYYY-MM-DD]

[--key-fp FP | --key-env VAR] [--json] mcportal compile [PRESET_ID ...] [--presets-root PATH] [--check] [--json] mcportal presets [--presets-root PATH] [--json] [--verbose] mcportal sample PRESET_ID ... --key-env VAR [--budget N] [--count N] [--ledger PATH] [--presets-root PATH] [--json] mcportal serve PRESET_ID [--replay | --key-env VAR] [--presets-root PATH] [--name TEXT]

SubcommandWhat it does
quota statusShows today's (KST) usage, budget, remainder and state per key fingerprint. The ledger is opened read-only (`mode=ro`) and never created. Budget resolution order is --budget > CALL_BUDGET > profile default, and the output states which path was taken
compileRegenerates preset bundles. Files whose content is unchanged are not rewritten. --check writes nothing and only byte-compares
presetsLists the bundles as a table; --verbose expands the curation notes
sampleLive sampling that fills in response schemas still marked unresolved, writing the inferred schema, the response bodies and a replayable cassette. It is the one subcommand that needs a key, and the key is taken only from the environment variable named by --key-env VAR, never as a literal argument
serveStands one bundle up as an MCP server over stdio. The default --replay needs no key; --key-env VAR goes live through the same quota guard. Requires the [mcp] extra. Documented against a repo checkout: --replay reads presets/ /cassettes/ .json, which the wheel does not carry (note 1), so from a PyPI install pass --presets-root /presets or set MCPORTAL_PRESETS= /presets. Three of the four bundles have a cassette — 15081808 has none in the repository either, so it serves live only. stdout is protocol-only; every human-readable line, banner included, goes to stderr

Exit codes: 0 success (including "no ledger", "no presets" and "nothing changed" — an empty state is not a failure) / 1 execution failure / 2 usage error / 3 drift found by compile --check / 130 user interrupt.

--json prints JSON alone on stdout (no human prose mixed in, so it is pipe-safe) and sends every error to stderr. A raw service key is never printed on any path — even --key-env reads the environment variable and computes the fingerprint locally. The ledger stores no raw key, so a fingerprint is the only thing the CLI ever had available to show.

Presets — three services, four datasets

presets/ holds bundles built from real published specifications on data.go.kr. Their purpose is to demonstrate, in data rather than in code, the fix for the failure mode of naive spec conversion, where every generated tool ends up described as "list query".

| ID | Service | Domain | Sour

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