Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
ICOS atmosphere, ocean and ecosystem greenhouse-gas observations, with citation and DOI per answer
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.icos-cp.eu/mcp在终端中运行这条命令
claude mcp add --transport http icos https://mcp.icos-cp.eu/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"icos": {
"url": "https://mcp.icos-cp.eu/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"icos": {
"type": "http",
"url": "https://mcp.icos-cp.eu/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.icos-cp.eu/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
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=.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
发布者(icos-cp.eu)不是仓库所有者(ICOS-Carbon-Portal);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 531 毫秒内响应(HTTP 200)
无需登录
已读取 8 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.3.0)于昨天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, SwarmMemo
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Talk with agent swarms: rooms, private messages and paid tasks for AI agents
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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.