Korean Law MCP
Korean law: statutes, precedents, ordinances, treaties and citation verification (법제처 API).
Search, filter, count and sum Australian government open data, with every version kept.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
검사 5/5 통과 · 내가 묻는 내용은 제작자 서버(publicdata.au)를 거쳐요
먼저: 어떤 AI를 쓰시나요?
쓰는 앱을 고르면 아래에 단계가 나옵니다.
Claude에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음 · claude.ai나 데스크톱 앱에서 한 번 설정하면 채팅에서 쓸 수 있어요 · 무료 계정은 1개까지 · Team/Enterprise는 소유자(Owner)가 추가
CustomizeConnectors
여기서 복사해 Claude의 같은 이름 칸에 붙여 넣고 Continue를 누르세요
publicdata.auhttps://publicdata.au/mcpAuthentication은 Claude가 찾은 그대로 두고 Add를 누르세요
+Connectorspublicdata.au
publicdata.au을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude가 publicdata.au을 쓰고 있다고 하거나 답에 publicdata.au 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
ChatGPT는 기업용 요금제에서만 연결돼요
웹의 ChatGPT Business, Enterprise, Edu에서 워크스페이스 관리자나 소유자가 추가해요 · Free, Plus, Pro를 쓰면: 내 ChatGPT 요금제로는 아직 MCP를 직접 연결할 수 없어요
Plugins+Add custom MCP server
이름을 넣고 Connection에 주소를 붙여 넣은 뒤 경고에 체크하고 Create as a plugin을 누르세요
publicdata.auhttps://publicdata.au/mcp새 채팅을 열고 입력 전에 플러그인 목록에서 publicdata.au을 고르세요
publicdata.au을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ ChatGPT가 publicdata.au을 쓰고 있다고 하거나 답에 publicdata.au 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 OpenAI 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Claude Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
Mac: Command+스페이스를 누르고 Terminal 입력 · Windows: PowerShell 열기
claude mcp add --transport http --scope user publicdata https://publicdata.au/mcppublicdata.au이 목록에 있고 연결됨으로 보이면 돼요
publicdata.au을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude Code가 publicdata.au을 쓰고 있다고 하거나 답에 publicdata.au 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Cursor에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
publicdata.au을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Cursor가 publicdata.au을 쓰고 있다고 하거나 답에 publicdata.au 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Cursor 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
VS Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
publicdata.au을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ VS Code가 publicdata.au을 쓰고 있다고 하거나 답에 publicdata.au 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 VS Code 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Windsurf, Zed, Gemini CLI 같은 다른 MCP 앱은 추가 방법이 저마다 달라요. 앱 목록에서 확인하세요
웹으로 연결하는 앱용 주소
https://publicdata.au/mcpJSON 설정은 아래 “개발자용”에 있어요
Claude Code
claude mcp add --transport http --scope user publicdata https://publicdata.au/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"publicdata": {
"url": "https://publicdata.au/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"publicdata": {
"type": "http",
"url": "https://publicdata.au/mcp"
}
}
}이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.
인터넷으로 연결하는 앱
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
도구 이름과 설명은 서버가 2026년 11월 12일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
search_datasetsFind the slug of a served dataset. Start here for any question about Australian government data, since the other tools read only the datasets this finds. Every word in query must match the title, summary, publisher, keywords or a field name. A word matches its plural and other en
get_datasetRead a served dataset's data package and full version history: licence, attribution, whole-table files and the version dates diff_versions and the version parameter take. It carries no rows. To answer from the rows use query_rows or count_rows, and for field names use list_fields
list_fieldsList a served dataset's fields, with their types, descriptions, ranges and values, before querying it. Call it before query_rows or count_rows unless you already know the exact names and values, because where matches values exactly and an unknown field is an error. It also names
list_partitionsList the download files that split a served dataset's newest version by one field, such as one file per year. Use it to hand someone a slice of the data as a file. It gives file links and no rows, so to answer a question use query_rows or count_rows instead, and for the whole tab
query_rowsRead individual rows of a served dataset, filtered across the whole table. For totals and breakdowns use count_rows, and for files use get_dataset or list_partitions. Field names and values for where, select and order come from list_fields. Filters hold at most 90 values per call
count_rowsCount, sum, average, minimum or maximum rows of a served dataset across the whole table, grouped by up to three fields. For the rows themselves use query_rows. Field names and values for group_by and where come from list_fields. sum and avg need a numeric or true-or-false field.
diff_versionsCompare two consecutive versions of a served dataset row by row on its key fields, to see what a publisher changed between releases. from and to must be adjacent dates in the version history from get_dataset, older first. Any other pair returns a 404 error, so step through a long
search_catalogueSearch every dataset listed on Australia's government portals, including the many publicdata.au does not serve yet. Its records describe data held elsewhere, which cannot be queried here. Use it when search_datasets finds nothing, to find where a dataset is published, or to pick
list_backlogList the datasets people have asked publicdata.au to build, most votes first. Use it to see what is wanted or under way, or to check that a vote counted. To add a vote use upvote_dataset. To read a dataset that is already served use search_datasets. Votes on catalogue records tha
upvote_datasetAdd one anonymous vote for a government dataset that publicdata.au does not serve yet, so it is built sooner. To read a served dataset use search_datasets, and to see the votes so far use list_backlog. slug is a vote key from search_catalogue, such as act-3u5a-ve4j, or a list_bac
searchFind served datasets by keyword and return each one's id, title and citation URL, in the shape ChatGPT deep research and company knowledge call search with. It runs the same search as search_datasets, so every word in query must match. Pass an id to fetch to read the dataset's li
fetchRead one served dataset's record as text to quote and cite: its summary, publisher, licence, attribution string, newest version and the URL of that version. It is the fetch that ChatGPT deep research and company knowledge call, with an id from search. It carries no rows. To answe
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 13일 점검
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
아직 리뷰가 없어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 5개 중 5개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 어제 변경됐고, 최신 버전(2.49.1)은 21일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되므로 원격 MCP를 지원하는 앱에서도 쓸 수 있어요. 예: ChatGPT Business 이상.
같은 카테고리에는: Korean Law MCP, Global law, Tw Legal Rag
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Korean law: statutes, precedents, ordinances, treaties and citation verification (법제처 API).
The law of nearly every country on earth, any date: read it, see what changed it, check citations.
Taiwan law MCP server: 22M court judgments, statutes, agency rulings, with citation checks
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Australian government open data, republished as CSV, Excel, JSON, Parquet, SQLite, DuckDB, GeoJSON and GeoPackage at URLs that never change. Every release the publisher makes becomes a dated version that keeps its content, with its schema, provenance, the publisher's own file and a diff against the release before.
This is an independent site run by National Digital. No government agency runs it, funds it or has endorsed it. Each dataset is republished under the publisher's licence with the attribution that licence asks for.
Contributions are welcome from anyone. A dataset from the backlog is one YAML file in register/, and a new file format is one writer in pipeline/publicdata/serialise/writers/. CONTRIBUTING.md has the steps for those and for adapters, fixes and the clients, and publicdata.au/contribute gives the overview. Every dataset page links to the register entry it is built from.
Taking part means agreeing to the Code of Conduct. SUPPORT.md says where to ask for a dataset or for help, and a vulnerability is reported privately as SECURITY.md describes. GOVERNANCE.md says who decides, and AGENTS.md is for coding agents.
register/ one YAML per dataset: source, licence with evidence, attribution, field allow-list, key, partitions, status. Backlog and blocked entries live here too.store/ one manifest per fetched version. Bytes are in R2 and pulled by hash before a build.pipeline/ the Python build: publicdata register validate | fetch | build | gate | split | store pull|push | dist-push | shards | purge.functions/ Cloudflare Pages Functions: votes, requests, saved dashboards, the query API, latest/ redirects, R2 fallback.explorer/ and package.json the explorer's browser libraries, copied into the build.clients/ the packages that call the site from other languages: clients/python is publicdata-au on PyPI and clients/r is publicdataau for CRAN. They take any slug, so a new dataset needs no release.docs/ARCHITECTURE.md the rules that decide the code.docs/CORRECTIONS.md how a fault in a published file is reported and fixed, and the log of every correction.docs/adr/ the decision records behind those rules: what each decided, what was weighed against it and what it costs.docs/ACCESSIBILITY.md the WCAG 2.2 AAA target, what CI enforces and the exceptions.CONTRIBUTING.md sets up a working copy, builds the fixtures, fetches a real dataset and walks through the routine changes. No credentials are needed for any of it.
.github/workflows/deploy.yml builds, gates, splits, pushes large files to R2 and deploys to the Pages project publicdata-au on every push to main, with a preview per pull request from this repository. Credentials sit in GitHub environments. production, which only main can use, holds the deploy's and the hubs'; preview holds a pull request preview's; fetch, also main only, holds the fetch's and the catalogue's. Each holds a Cloudflare token of its own, and these are the R2 buckets each token can reach:
| Environment | Workflows | Writes | Only reads |
|---|---|---|---|
production | deploy.yml on main | publicdata-dist, publicdata-build-cache | publicdata-raw |
preview | deploy.yml on a pull request | none | publicdata-raw, publicdata-dist, publicdata-build-cache |
fetch | fetch.yml, catalogue.yml | publicdata-raw | none |
The build cache, from which a deploy takes the versions it does not build again, has a bucket of its own, so that only the production deploy can change what the site publishes from it.
.github/workflows/fetch.yml reads every live source each Tuesday and the live feeds every other day, and opens one pull request per government whose sources changed. .github/workflows/catalogue.yml harvests the portals' dataset lists. Some portals turn away cloud addresses, so both run on a runner of our own in Australia. Its runner group admits only those two workflows on main, and they start only on their schedule or when a maintainer runs them. Both open their pull requests as the GitHub App "publicdata.au fetch", whose key is a secret only those environments hold. A ruleset lets only that app create or push data/ branches, so no person can open a pull request as the automation. .github/workflows/data-pr.yml approves those pull requests and nothing else.
The code is licensed under the GNU Affero General Public License v3.0 or later (LICENSE). If you run a modified copy as a service, you must offer its users the source of your changes. The clients in clients/ are under the MIT licence in each package's LICENSE.
The publicdata.au name and mark are not covered by the code licence; BRAND.md says what a copy must change.
The data is not ours to license. Each dataset is published under its publisher's licence, which its register entry, its manifest and every file name, with the attribution that licence asks for. The text we write for the register is under CC BY 4.0 (LICENSE-DATA.md). Test extracts, the brand typeface and the explorer's libraries are listed in THIRD-PARTY-NOTICES.md; the typeface is RandomMaerks' free package, redistributed under its own licence.