get_nearest_stations
Nearest weather stations
Nearest weather stations to a point (name, WMO id, distance, years of record). Free, no key.
nlat必填lon必填
io.github.carlobianchi89由 GitHub 账号 carlobianchi89 发布v0.5.3更新于 Nov 4, 2026
EnergyPlus weather files (EPW, DDY, STAT) and design conditions for any site, OpenStudio-MCP ready.
EPW.tools 可为任意地点生成 EnergyPlus 气象文件(EPW、DDY、STAT)、设计条件和预报,用于建筑模拟。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.carlobianchi89%2Fepwtools/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"epw-tools": {
"type": "http",
"url": "https://epw.tools/api/mcp"
}
}
}[carlobianchi89/epwtools-python MCP server]
Python client, command-line tool and MCP server for EPW.tools: EnergyPlus weather files (EPW, with DDY design days and STAT summaries) for any location on Earth.
The weather data are built and validated by EPW.tools (methodology, validation); this package is the open-source way to call them from Python, the terminal or an AI assistant.
Get a free API key at epw.tools (API tab); the first files are free.
Let Claude, ChatGPT and other MCP-capable assistants make weather files for you:
or use the hosted server, listed in the official MCP Registry. Tools include generate_epw, generate_tmy,
generate_future_climate, generate_forecast, get_design_conditions and get_nearest_stations.
Setup guide: epw.tools/ai-weather-files.
EPW to CSV / Excel converter · Manual J design temperatures by address · Construction weather days · Data-centre site climate · API licence for software vendors
The client, CLI and MCP server in this repository are MIT-licensed. Use of the EPW.tools service and its data is governed by the EPW.tools terms of service (linked in the footer of epw.tools).
来源:README.md,提交 f1e0fc9
Nearest weather stations
Nearest weather stations to a point (name, WMO id, distance, years of record). Free, no key.
nlat必填lon必填Design conditions (ASHRAE method or EPW.tools Enhanced)
Heating and cooling design conditions for any site, free, in one of two modes that are never mixed. mode="ashrae_method": the ASHRAE Handbook Ch. 14 method replicated at the nearest ASHRAE station for the chosen edition (2025, 2021, 2017, 2013, 2009, 2005); validated about 0.25 degC from the published tables. mode="enhanced": EPW.tools Enhanced, not the ASHRAE method: values at the site itself for today's climate with a tested 90 % range. The DDY file for Enhanced costs 1 credit through the web or the API.
lat必填lon必填modeeditionlocation_namecurrent_climateCMIP6 models for future climate
The models available for future-climate morphing: `models` are global CMIP6 models (NASA NEX-GDDP, 25 km); `regional` are EURO-CORDEX pairs (12.5 km, Europe only, 27-72 N / 25 W-45 E) usable as `model` ids. Free.
无需输入参数。
Analyze an EPW by URL
Summary statistics of any public EPW by URL (OneBuilding, EnergyPlus, a shared file): location header, dry-bulb mean/min/max, annual global horizontal irradiation, data range warnings. Free, no key. 10 MB max.
url必填Generate actual-year EPW (AMY)
Start an actual-year (AMY) EPW + DDY + STAT for any point, 1990 to last year. 1 credit; +2 with urban_street_level (53 US cities: hourly street-level air temperature from citizen stations). Returns a job_id; poll with get_job_result.
lat必填lon必填year必填api_key必填dc_editiondata_sourcelocation_nameurban_street_levelGenerate typical year (TMY)
Start a typical meteorological year from a chosen period (at least 5 years; 10-20 is usual). 1 credit.
lat必填lon必填api_key必填end_year必填dc_editionstart_year必填location_nameGenerate future-climate EPW (CMIP6)
Start a CMIP6-morphed future EPW (Belcher 2005). scenario: ssp126, ssp245, ssp370, ssp585; horizon: any decade 2030-2100; model from list_cmip6_models. 3 credits.
lat必填lon必填modelapi_key必填horizonscenariobase_yearlocation_nameGenerate forecast EPW
Start a forecast EPW for the next 1-15 days (operational sims, MPC, demand response). Up to 7 days free.
lat必填lon必填daysapi_key必填location_nameJob status and download links
Status of a job started by a generate_* tool; when complete, the download URLs (they carry the key).
job_id必填api_key必填已满足适用检查项的 100%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
pip install epwtools # client + CLIpip install 'epwtools[mcp]' # + MCP server for AI assistantsexport EPWTOOLS_API_KEY=your-keyfrom epwtools import EPWClient
client = EPWClient() # reads EPWTOOLS_API_KEY
# actual year 2023 for a site in Denverepw = client.generate(lat=39.74, lon=-104.99, year=2023, name="Denver", out_dir="weather")
# typical year built from 2005-2024tmy = client.tmy(lat=45.46, lon=9.19, start=2005, end=2024, name="Milan", out_dir="weather")
# design conditions (ASHRAE method)dc = client.design_conditions(lat=51.51, lon=-0.13)epwtools configure # store your keyepwtools generate --lat 39.74 --lon -104.99 --year 2023 --name Denverepwtools tmy --lat 45.46 --lon 9.19 --start 2005 --end 2024 --name Milanepwtools future --lat 40.71 --lon -74.01 --scenario ssp245 --horizon 2050 --name NYCepwtools --helpuvx --from 'epwtools[mcp]' epw-tools-mcp