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)
Statistically rigorous weather and climate context: forecast plus 35-year historical ranking.
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。
BASELINE_API_URL, BASELINE_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"baseline": {
"command": "uvx",
"args": [
"baseline-mcp"
],
"env": {
"BASELINE_API_URL": "your-value",
"BASELINE_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add baseline --env BASELINE_API_URL=your-value --env BASELINE_API_KEY=your-value -- uvx baseline-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"baseline": {
"command": "uvx",
"args": [
"baseline-mcp"
],
"env": {
"BASELINE_API_URL": "your-value",
"BASELINE_API_KEY": "your-value"
}
}
}
}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": {
"baseline": {
"type": "stdio",
"command": "uvx",
"args": [
"baseline-mcp"
],
"env": {
"BASELINE_API_URL": "your-value",
"BASELINE_API_KEY": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过 GitHub 账户 elninyo-ops 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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 1 项适用的基础检查中通过了 1 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。
你需要填写:BASELINE_API_URL, BASELINE_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.9)于42天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ 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.
List courses; add users to courses, remove course access or delete users in MemberVault.
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。
Stop your agent inventing climate context. Ranked 35-year records for any point on Earth, cross-checked against real stations, with an explicit reliability note to relay instead of guess.
Ask it something, and this is what comes back.
*A ranking — with the near-tie disclosed, and a station agreeing:*
August 2026: Mean temperature was 75°F, +2.8°F from normal, ranking as the **8th warmest
since 1991** — though the 7th warmest through 9th warmest years are within 0.7°F of each other.
A nearby station (CASPER-NATRONA COUNTY AP, 8.4 mi) agrees: +2.1°F from its own normal,
against the reanalysis's +2.8°F.
*A station that does not agree — the gauge a mile away read half the grid's total:*
March 2026: Precipitation totaled 2.30 in — near average for this period historically.
A nearby station (BOZEMAN MONTANA STATE UNIVERSITY, 1.3 mi) **measured 1.12 in, against the
reanalysis's 2.30 in.**
*A wind ranking that says plainly it is modeled, not measured:*
March 2026: Modeled peak gust: 60 mph, ranking as the 3rd gustiest since 1991 — though
it's within 1 mph of the 6th gustiest year. A station (Saratoga, 32.1 mi) measured a peak gust
of 59 mph. The reanalysis figure is a modeled estimate, not a direct reading.
*A seasonal outlook carrying its own skill label:*
**Leaning wetter than normal for Sep–Nov in Nairobi, on odds we haven't been able to verify
here** — below normal 5%, near normal 19%, above normal 76%. Forecasts here do track wetter and
drier seasons, so the direction is the part worth using; whether the percentages themselves beat
a climatological guess has not been shown.
Four things worth noticing. It gives you the rank, not just the number. It tells you when the rank is a near-tie, so you don't over-read it. It goes and asks a real weather station whether the gridded record is right — and when the station disagrees, it says so rather than papering over it. And when it can't vouch for its own forecast, it tells you that too.
ERA5 has been sitting in public archives for years. Interrogating it meant knowing which dataset, writing the code, and having an afternoon. That cost is what collapsed — and the interesting consequence is that people now ask things they'd never have thought worth the trouble.
The Bozeman example above isn't a weather lookup. It's a construction schedule dispute, where the question was whether rain actually stopped work — and the gridded record said one thing while the gauge a mile away said another. The wind example is a trucking corridor. Neither would have been worth opening a climate dataset for. Both take a sentence now.
That's the claim: not that historical weather data exists, but that the cost of asking it a real question has fallen far enough that weather becomes one ordinary input into questions that aren't about weather.
Most tools hand you a number. This one hands you the number and its standing.
Every response carries an assessment field with Baseline Climate's own confidence statement, and the tool descriptions instruct the model to relay it rather than compose its own. That exists because the failure mode is real: given a bare number, models invent records that weren't broken, assert a dataset is unreliable somewhere it isn't, and recycle one station disagreement across unrelated answers.
| Global daily record | ERA5-Land reanalysis, 0.1°, 1991–present, land-only |
| Station cross-check | ACIS (NOAA RCC). United States only — outside the US, answers say plainly that no station check ran |
| Seasonal outlook | ECMWF SEAS5, calibrated per region. Precipitation only — temperature has not yet cleared our skill test, and we don't issue one until it does |
| Forecast | Open-Meteo |
Rankings use the full 1991–present record; "normal" means the WMO 1991–2020 reference period. See METHODOLOGY.md for how rankings, percentiles and water years are computed, and where the limits are.
Requires an API key. Self-serve signup isn't available yet — email Chad McNutt (chadmcnutt@gmail.com) during this early period.
pip install baseline-mcp # or: uvx baseline-mcp
Claude Code
claude mcp add baseline \
--env BASELINE_API_URL=https://api.baselinecontext.com \ --env BASELINE_API_KEY=your-key-here \ -- uvx baseline-mcp
Claude Desktop — ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "baseline": { "command": "uvx", "args": ["baseline-mcp"], "env": { "BASELINE_API_URL": "https://api.baselinecontext.com", "BASELINE_API_KEY": "your-key-here" } } } }
Cursor — .cursor/mcp.json, same shape as above.
As an HTTP server (streamable HTTP, for hosting behind a reverse proxy):
BASELINE_API_URL=https://api.baselinecontext.com baseline-mcp --transport http --port 8765
It serves /mcp on 127.0.0.1 and holds no key of its own: every request must carry the caller's key in an X-Api-Key (or Authorization: Bearer) header, and each tool call is made with that key, so it counts against that key's own quota. A request without a valid key gets a 401. The default, --transport stdio, is the local server shown above.
This package is a thin translation layer: no climate logic lives here, and every tool call is an HTTP request to the Baseline Climate API. See CONTRIBUTING.md in the repository for local development setup.
MIT licensed.