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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Sdcdcatap

제작자: SemanticDataCharter버전 4.1.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.SemanticDataCharter/sdcdcatap

설치

개요

제작자가 쓴 설명(영어 원문)

DCAT-AP 3.0.1 catalogs of published Semantic Data Charter models; Turtle or JSON-LD; no account.

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: 기타

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": {
    "sdcdcatap": {
      "command": "uvx",
      "args": [
        "sdcdcatap",
        "mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add sdcdcatap -- uvx sdcdcatap mcp

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "sdcdcatap": {
      "command": "uvx",
      "args": [
        "sdcdcatap",
        "mcp"
      ]
    }
  }
}

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": {
    "sdcdcatap": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sdcdcatap",
        "mcp"
      ]
    }
  }
}

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 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 SemanticDataCharter 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

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32417개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32417개 중 75%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32417개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Sdcdcatap, 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(4.1.1)은 12일 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: Spec Driven Development, Remote Desktop Commander, FOGA node

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

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

FOGA node

제작자: garyyang-finchip

A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.

컴퓨터 또는 클라우드오늘 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.

sdc_dcat3_ap

One Semantic Data Charter model, described in DCAT-AP 3.0.1.

sdcdcatap reads a published SDC model's package and writes the dcat:Catalog that DCAT-AP, the DCAT Application Profile for data portals in Europe, asks a portal to exchange: one Dataset per model, the model's schema cited as the standard its records conform to (dct:conformsTo) and as the document that defines their variables (foaf:page), by URL and SHA-256. One rdflib graph, serialized as Turtle and as JSON-LD. The output is checked with SEMIC's own SHACL shapes at a pinned commit and with the Interoperability Test Bed's SEMIC validator.

1. What this is, and where it came from

The sample, samples/nhanes-participant/catalog.ttl (and catalog.jsonld, the same graph), is a Catalog with one Dataset: the records of NHANES Participant (dm-xy8upneajsb8vdcmnve01g6g) from the FAIR Data Demo, a demographic, examination and laboratory record of the National Health and Nutrition Examination Survey (CDC). The model is public:

  • the catalog record: https://sdcstudio.axius-sdc.com/api/v1/catalog/dm/xy8upneajsb8vdcmnve01g6g/
  • the schema the records conform to: https://sdcstudio.axius-sdc.com/dmlib/dm-xy8upneajsb8vdcmnve01g6g.xsd
  • the Semantic Data Charter: https://semanticdatacharter.com
pip install -e ".[fetch]"

sdcdcatap write --package samples/nhanes-participant --out catalog.ttl --jsonld catalog.jsonld sdcdcatap write --ct-id xy8upneajsb8vdcmnve01g6g --ct-id --save-package pkg/ --out catalog.ttl # a catalog of models, from the public catalog sdcdcatap write --package DIR --catalog my-catalog.yaml --out catalog.ttl # a publisher's own declared input

Two kinds of input, kept apart. From the model's package (its JSON-LD, its schema, the public catalog record and the published schema versions; no account needed; a model without a package is refused): title, description, identifier, creator, dates, licence, the schema's URL and SHA-256, the variable count, and the model's own Dublin Core when the modeler wrote it (publisher, subject keywords, contributors, coverage). From the catalog's publisher, declared in catalog.yaml because the profile's controlled vocabularies and range rules demand values the package cannot know: the contact point, the EU data theme, access rights, language, the publisher's ADMS type, the catalog's own title, description and homepage. The package ships a default file for the sample (src/sdcdcatap/data/catalog.yaml); a publisher supplies its own.

Every referenced node is typed and named inline. The range shapes require every object value to be an instance of its class, and the mandatory shapes require a name on every agent and a label on every concept, wherever they sit in the graph. So the publisher is a foaf:Agent with a foaf:name, the theme is a skos:Concept with a skos:prefLabel in its scheme, the licence is a dct:LicenseDocument, the language a dct:LinguisticSystem, and so on. A harvesting portal gets a complete graph.

What the Dataset carries:

dct:title, dct:descriptionthe model's, English-tagged, plus one sentence saying what a governed data record is and that the schema is immutable
dct:identifier, adms:identifierdm-xy8upneajsb8vdcmnve01g6g, as a literal and as an adms:Identifier with skos:notation
dct:conformsToa dct:Standard: the schema at its pinned URL (?sha256=), with the SHA-256 as dct:identifier
foaf:pagea foaf:Document: the schema at its stable URL, described as the data dictionary (153 variables), dct:format XML from the File Type NAL, itself dct:conformsTo the SDC4 reference model
dct:publisher, dct:creatorfoaf:Agents with names; the publisher with its ADMS type and homepage
dcat:contactPointa vcard:Kind with vcard:fn and vcard:hasEmail, from the declared input
dcat:theme, dct:language, dct:accessRightsHEAL from the EU Data Theme vocabulary, ENG from the Languages NAL, PUBLIC from the Access Rights NAL, from the declared input
dct:licensethe model's licence URL as a dct:LicenseDocument
dcat:keyword, dcat:landingPage, dct:issued, dct:modifiedfrom the package
dct:provenance, dcat:versiona dct:ProvenanceStatement: a published model never changes, a revision is a new model naming the one it revised; the SHA-256 as the version

The Catalog carries its title, description, publisher, homepage, language, dates, the Data Theme vocabulary as dcat:themeTaxonomy, and the Dataset.

2. How to verify it

The tests run SEMIC's shapes from data/dcat-ap-3.0.1-4470b8e/, copied at the pinned commit (build/snapshot_dcat_ap.py verifies the pin first), with pySHACL:

pip install -e ".[dev]"

python -m pytest tests -q # the Interoperability Test Bed test runs too, over the network python -m pytest tests -q -m "not network" # offline, as CI runs it

Offline: the mandatory-property shapes (dcat-ap-SHACL.ttl) and the range shapes (ranges.ttl), both conforms, in Turtle and in JSON-LD. The committed samples are asserted isomorphic to a fresh run.

The second judge, the Interoperability Test Bed's SEMIC SHACL validator (https://www.itb.ec.europa.eu/shacl/dcat-ap/, v1.14.0-SNAPSHOT on 9 October 2026, through its REST API), on the sample:

Validation typeResult
dcatap.3_0_1_base0 (mandatory, no background knowledge)conforms
dcatap.3_0_1_range0 (ranges, no background knowledge)conforms
dcatap.3_0_1_codelists (controlled vocabularies)conforms, 3 warnings: the publisher is not in the EU Corporate Bodies NAL (it is a company, not an EU body)
dcatap.3_0_1_rec (recommendations)conforms, 19 warnings, listed in part 4
dcatap.3_0_1_full (everything, with background knowledge)11 violations that are not in the document: see part 4

The network test asserts the first four.

3. What the projection could not say

Left out rather than filled in:

  • No `dcat:distribution` of the records. The FAIR Data Demo's records are not published; the model is. The profile recommends a distribution and does not require one; the writer emits one when a publisher declares an access URL.
  • No temporal coverage, no geometry, no frequency, no dataset series, no data service. The package does not carry them. Spatial coverage, subject keywords, contributors and the model's own publisher come from the model's Dublin Core when the modeler wrote them; SDCStudio's field defaults ("Universal" for coverage, "None" for relation, blanks) read as unset, which is why the NHANES catalog carries none of them.
  • Nothing a publisher would have to decide. The data theme, access rights, language, the publisher's type and the contact point are declared input, said so here, and defaulted only for the sample.

In the other direction, what the record carries that a catalog entry has no place for, stated so a reader knows where to look rather than as a shortcoming of either side:

  • The governance envelope is data in every record. Each Governed Data Record carries its own audit event, PROV activity and PROV agent as validated leaves. DCAT-AP's dct:provenance and prov:wasGeneratedBy describe the dataset; the per-record facts are in the records, defined in the schema the catalog points at.
  • The schema is bound to each record. Every record names the schema it was validated against; the catalog says that once, in dct:conformsTo with the SHA-256.
  • The reason a value is missing is typed in the record. A leaf may carry one of sixteen exceptional values in place of its value; the schema defines them; which one applies, and where, is in the record.
  • There is no data-dictionary slot. DCAT-US 3.0 has describedBy for "the names and definitions of all variables"; DCAT-AP has dct:conformsTo and foaf:page, which is where the schema goes here.

4. What we learned about DCAT-AP 3.0.1 and its validators

Implementer's notes from building this against SEMICeu/DCAT-AP at 4470b8e and the Interoperability Test Bed on 9 October 2026. They describe how the artifacts behave, so the next implementer spends the day on their own catalog rather than on these.

  • Type and name everything you reference. The ranges file checks sh:class on every object property, and the base file requires foaf:name on every foaf:Agent and skos:prefLabel on every skos:Concept in the graph, including vocabulary terms you merely point at (the ADMS publisher type, the data theme). SEMIC's own minimal example, with its publisher as a bare URI, passes the mandatory shapes and fails the ranges for exactly this reason.
  • The `full` and `base` types report violations that are not in the document. An empty minimal catalog (title, description, a named publisher) submitted to dcatap.3_0_1_base returns the same five foaf:name violations on blank-node agents as our sample does, and full adds six dct:title violations on ADMS concept schemes (http://purl.org/adms/publishertype/1.0 and siblings). They come from the background knowledge those types load, not from the content. Read the four groups individually (base0, range0, codelists, rec), each of which reports only on the document; that is what the table in part 2 does.
  • The recommendations type treats the Catalog as a Dataset. With DCAT loaded as background knowledge (dcat:Catalog is a subclass of dcat:Dataset), the Dataset recommendations fire on the Catalog too: contact point, distribution, keyword, theme, spatial and temporal coverage, licence. Of the 19 warnings on the sample, nine are those; the rest are the Dataset's missing distribution, spatial and temporal coverage, dct:type on the creator agent and on the licence document (ADMS licence type), and the publisher outside the Corporate Bodies NAL.
  • `ranges.ttl` references property shapes it does not define. 206 sh:property triples point at nodes with no triples of their own. A Jena-based validator passes over them; pySHACL refuses to run ("not a well-formed SHACL PropertyShape"). The tests drop the undefined references before running; the 91 defined property shapes are what is checked.
  • The REST API is simple. POST https://www.itb.ec.europa.eu/shacl/dcat-ap/api/validate with a JSON body of contentToValidate (the document as a string), embeddingMethod: STRING, contentSyntax, validationType and reportSyntax; the answer is a SHACL validation report. /api/info lists the validation types and the validator version. JSON-LD and Turtle gave identical results.
  • `dcat:version` is a DCAT 3 property that rdflib's closed `DCAT` namespace does not know; build the IRI by hand.
  • The language is a NAL concept, not a tag. dct:language takes http://publications.europa.eu/resource/authority/language/ENG, a dct:LinguisticSystem; a BCP 47 string fails the ranges.

MCP server

sdcdcatap is also an MCP server, registered as io.github.SemanticDataCharter/sdcdcatap, so an assistant that can read a published model with sdcreader can ask for its DCAT-AP 3.0.1 description. One tool, write_catalog, over the same function the CLI calls; stdio; read-only apart from the document it returns; no account; no tool takes a URL (the catalog host is fixed at start with --host). The protocol scaffold is sdcreader.mcp, shared by every SDC projection server.

uvx sdcdcatap mcp            # or: sdcdcatap-mcp, or sdcdcatap mcp

Layout

  • The model's package is read with sdcreader (load_package, fetch_package, read_model): the record tree, its leaves, the enumerated values with their codes, the model's Dublin Core with SDCStudio's defaults as unset. The

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