Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
ICOS atmosphere, ocean and ecosystem greenhouse-gas observations, with citation and DOI per answer
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.icos-cp.eu/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http icos https://mcp.icos-cp.eu/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"icos": {
"url": "https://mcp.icos-cp.eu/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"icos": {
"type": "http",
"url": "https://mcp.icos-cp.eu/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.icos-cp.eu/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
list_datasetsList the ICOS datasets: one per data store, with domain (atmosphere, ocean, ecosystem), time and space coverage, licence and DOI.
search_variablesFind variable ids in the ICOS catalogue by name, quantity or unit. The ids are what estimate and get_data take. Primary measurements come before their companions (standard deviation, value counts, flags).
describe_variableOne variable in full: names, unit, which dataset, its coverage, how its quality flag is read, licence and DOI. For a multi-dimensional variable read through zarr (access 'zarr'), its axes with their labels, the slice /query serves (prescribed) and an xarray line for any other sli
estimateHow big a selection is -- rows, stations, time span -- without fetching it. Call this before get_data.
get_dataObservations for one variable, filtered by box, time, station, cruise, height and quality control. Returns at most max_rows rows as a table, the total, a download URL for the whole selection, and the citation the user must be given with any use of the data.
get_citationHow to cite a variable's data: the citation text, licence and DOI from its data passport, and -- for a selection (stations, a time window, a box) -- every data object it came from, in full. Data answers carry a short citation and only the COUNT of their sources; this lists them.
aggregateStatistics over a WHOLE selection, computed on the server: count, mean, min, max, sum and standard deviation of one variable, overall or per station, year, month or day. Use this for any average, total, range or trend instead of reading rows. Any size: a selection over 500,000 ro
find_stationsThe stations that carry a variable: id, name, position, sampling height, country, ecosystem -- near a point (sorted by distance), in a box, by name or by country. The ids are what estimate and get_data take as station=.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
게시자(icos-cp.eu)가 저장소 소유자(ICOS-Carbon-Portal)가 아니에요. 다른 사람이 등록했을 수 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
544ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 8개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 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 – 변경됐고, 최신 버전(0.3.0)은 오늘 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Excaliself
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
ICOS carbon and greenhouse-gas observations for AI assistants, over the Model Context Protocol. A thin server over the ICOS zarr proxy (https://zarr.icos-cp.eu): every number comes from the proxy, and every data answer carries the citation, licence and DOI. The plan, and why it is built this way, is docs/plan.md.
Phases 1 and 2: seven read-only tools, five resources, three prompts, and a per-store access policy.
| tool | does |
|---|---|
list_datasets | the stores, with domain, coverage, licence, DOI |
search_variables | variable ids by name, quantity or unit ("methane" finds ch4) |
describe_variable | one variable in full, with how its QC flag is read |
find_stations | the stations carrying a variable: near a point, in a box, by name or country |
estimate | how big a selection is, before fetching it |
get_data | at most 2,000 rows, the total, a CSV download URL for the whole selection, the citation |
get_citation | citation, licence and DOI from the data passport |
uv run icos-mcp # stdio, for a local client uv run icos-mcp --transport streamable-http --port 8090 # http://127.0.0.1:8090/mcp
ICOS_PROXY points it at another proxy (the RC, a test instance).
Over HTTP the server also answers GET / with an HTML page in the style of zarr.icos-cp.eu -- built from what it offers an anonymous caller: the endpoint and how to connect, the public datasets, the tools and prompts, the citation rule (landing.py; ICOS_MCP_PUBLIC_URL sets the endpoint it names, default https://mcp.icos-cp.eu) -- and GET /health.
DEFAULT-DENY: a store is offered only when a rule names it, whatever the proxy behind the server would serve. Without a config file the rules are exactly the public stores of zarr.icos-cp.eu (config/public.json writes them out). ICOS_MCP_CONFIG=/path/to/config.json sets the proxy, the Host header to send it, the base of download links, and an ordered list of store rules, each public or token:
uv run icos-mcp --show-policy # what this config offers, to whom uv run icos-mcp --hash-token TOKEN # the line a tokens_file takes
config/ct122.example.json is the shape for running beside zpd on CT122, where zpd answers for EVERY store on the machine (the shuttle, GlobalView, AGAGE): the public stores by name, those three behind tokens, anything else hidden. A token store is offered to an HTTP caller sending Authorization: Bearer whose SHA-256 is in its tokens_file (plain tokens are never stored); a local stdio caller is the operator and uses ICOS_MCP_TOKEN, which never speaks for an HTTP caller. A hidden store answers exactly as one that does not exist, and the static icos://catalogue resource -- which the protocol does not tell who is asking -- lists the public stores only.
An oauth section in the config makes signing in required over HTTP. Anyone can sign in. The aim is to know who uses the server, not to keep anyone out:
"oauth": {"issuer": "https://sso.fs4vm.icos-cp.eu/realms/icos-test", "audience": "https://mcp.icos-cp.eu"}
The server is only a resource server. ICOS's Keycloak handles the sign-in, through cpauth, Google or ORCID. MCP clients find Keycloak in /.well-known/oauth-protected-resource, register themselves with it and send the user to sign in. A token must be signed by the realm and carry this server's audience, which needs an audience mapper in Keycloak. The store tokens above still work. The landing page and /health stay open, and the stdio operator is never asked to sign in (auth.py).
Signing in also allows a group store rule. The store is offered to members of a Keycloak group, or of a subgroup of one, and to no one else. The groups come from the verified token's groups claim:
{"match": "agage*", "access": "group", "groups": ["agage"], "public_url": "https://agage-zarr.icos-cp.eu"}
Group names are paths below /apps/mcp in the realm: agage is /apps/mcp/agage. That is the only part of a user's groups Keycloak sends this server.
Access is granted and withdrawn in Keycloak, not in the config. A group rule may also list store tokens for scripts. A group rule without an oauth section is refused at load, because nobody could reach it.
In Claude Code:
claude mcp add icos -- uv --directory /path/to/zarrm9/mcp run icos-mcp
Resources: icos://stores/{store}/agent-guide, icos://stores/{store}/croissant, icos://catalogue, icos://llms.txt, icos://data-passport. Prompts: station_record, compare_stations, ocean_region.
uv run pytest # over RECORDED proxy answers (tests/cassette) ICOS_CASSETTE_MODE=record uv run pytest # re-record from the live proxy ICOS_LIVE=1 uv run pytest # live, nothing recorded uv run ruff check src tests conformance/run.sh # the MCP conformance suite (needs Node)
conformance/run.sh starts a local server and runs the MCP project's own conformance suite against it, pinned to 0.1.16 by conformance/package-lock.json. conformance/baseline.yml lists the known failures and why each one fails (mostly the suite's own test fixtures, which a real server doesn't carry). It is read in both directions: a new failure fails the run, and so does an entry that now passes.
eval/questions.json is the DRAFT evaluation set: 30 questions across the three domains, each naming the variable and station a correct answer must use and a truth computed from the proxy at run time. It needs one reviewer per domain before it is relied on; the runner is not written yet.
This server is the ORACLE for the M9 port (mcpd, plan phase 7): its tool names, descriptions and answer shapes are the contract the port is replayed against, so change them deliberately.
Copyright (C) 2026 ICOS ERIC -- Carbon Portal.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. See LICENSE.
The DATA this server serves are not covered by this licence: each answer carries the licence of its dataset (ICOS data are CC BY 4.0) and the citation to give with it.