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 帳號 carlobianchi89 發布v0.5.3更新於 Nov 4, 2026
EnergyPlus weather files (EPW, DDY, STAT) and design conditions for any site, OpenStudio-MCP ready.
EPW.tools 可為任意地點產生 EnergyPlus 氣象檔(EPW、DDY、STAT)、設計條件與預報,供建築模擬使用。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.carlobianchi89%2Fepwtools/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"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).
來源: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.
無需輸入參數。
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必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
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