find_location
Find a place
Latitude and longitude of a place (OpenStreetMap Nominatim). If several match, ask the user which one.
limitquery必填
io.github.srpp011由 GitHub 帳號 srpp011 發布v0.2.2更新於 Nov 3, 2026
Historical weather and climate normals for any land location, 1 km grids, 1961 to today
發布方自己的服務:daily.dev
DailyMeteo MCP 讓助理查詢全球陸地的歷史天氣與氣候常年值,資料來自 1 公里網格,涵蓋 1961 年至今。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
參照 儲存庫 中的啟動說明。
An MCP server for DailyMeteo. With it, an AI assistant (Claude, VS Code, Cursor and other MCP clients) can answer questions about historical weather and climate change for any land location. Data are 1 km grids from 1961 to the present.
How much warmer are July days in Belgrade now than in 1961–1990? Which was the wettest year in Lisbon since 1961? Download daily mean temperature grids for Europe for 2003.
Easiest: ask your AI assistant (Claude Code, Cursor, Cline…): "Install the DailyMeteo MCP server from github.com/srpp011/dailymeteo-mcp". It will follow llms-install.md.
Claude Code plugin. The plugin includes the server and a skill that tells Claude which tool to use. It asks for your DailyMeteo email and password, which are optional:
The first start downloads about 60 MB. If the server shows failed in a new session, wait a minute and reconnect it with /mcp.
All other clients need uv and run uvx --python 3.12 dailymeteo-mcp. See Configuration.
Everything the DailyMeteo app offers, for land areas worldwide, from 1961 to the present:
Variables are tmean, tmax and tmin in °C, and prcp in mm (monthly and annual values are totals).
As in the app, daily requests over 1,000 credits ask for the user's confirmation, and area downloads should be estimated before they are ordered. Repeating the same daily request is not charged again. Long series are not dumped into the conversation. They are summarised (per variable and per year) and saved as CSV.
All environment variables are optional. Without any of them, monthly and annual values, normals, links and Zenodo grids work.
DAILYMETEO_EMAIL and DAILYMETEO_PASSWORD: your DailyMeteo account. They enable daily values, credits, point history and area downloads. Sign up at https://app.dailymeteo.com/.DAILYMETEO_API_KEY: alternative for daily values only (Account → API Keys).DAILYMETEO_OUTPUT_DIR: where CSV files and downloads are saved (default ~/dailymeteo).mcpServers JSON)The values are interpolated grids, not station measurements. Results used in a publication should cite:
Sekulić, A., & Kilibarda, M. (2026). MeteoEurope1km (1961–2020): daily gridded meteorological dataset for Europe at a 1-km spatial resolution. Zenodo. https://doi.org/10.5281/zenodo.23264155
Built on the Python client dailymeteo. License: GPL-2.0-or-later.
來源:README.md,提交 26d0702
Find a place
Latitude and longitude of a place (OpenStreetMap Nominatim). If several match, ask the user which one.
limitquery必填Find an area (polygon)
Boundary polygon (WKT) and size of a named area, for estimate_area_download / request_area_download.
query必填Weather values for a location
Daily, monthly or annual values for one location and one or more variables, 1961 to the present. Monthly and annual values are free. Daily values cost 1 credit per day and variable and need an account or API key in the server configuration. Results include a summary per variable; series longer than 400 rows are not listed but summarised by year and saved as CSV.
endlat必填lon必填datesstartsave_csvvariablestime_scaleconfirm_creditsClimate normals 1961-1990 vs 1991-2020
Climate normals for 1961-1990 and 1991-2020 and the change (newer minus older). Free. Without `month`, time_scale=mon returns all 12 months. Annual precipitation normals are yearly totals.
daylat必填lon必填monthvariablestime_scaleDailyMeteo account and credits
Plan and remaining credits: API credits (daily point and area data) and bulk credits (point history).
無需輸入參數。
Order full point history (email)
Every variable, daily, for one location — by default the whole record since 1961 — as CSV by email. Costs one bulk credit (bulk credits are separate from API credits). Preparing the file takes minutes.
endlat必填lon必填startEstimate area download cost
Credit cost of daily rasters clipped to an area (max 3,000 km²), and the account balance.
end必填bboxstart必填area_wktvariables必填Order area download (email)
Daily GeoTIFF rasters clipped to an area (max 3,000 km²), prepared on the server and emailed. Spends API credits: run estimate_area_download first and get the user's agreement to the cost.
end必填bboxstart必填area_wktvariables必填Open in the DailyMeteo app
Link that opens the location, variable and period on the DailyMeteo map with its chart and CSV export.
endlat必填lon必填startvariabletime_scaleList MeteoEurope1km grid archives
MeteoEurope1km archives on Zenodo (Europe, 1 km, 1961-2020, Cloud-Optimized GeoTIFF), free. Rasters are Equi7 Europe (EPSG:27704), Int16 in tenths of the unit (°C, mm, hPa), NoData -9999.
yearsperiodproductvariable必填Download MeteoEurope1km grid archives
Download MeteoEurope1km archives (1-3.5 GB per year of daily data), verify MD5, optionally unzip. Interrupted downloads resume. Tell the user the total size (list_gridded_files) before large downloads.
unzipyearsperiodproductdest_dirvariable必填已滿足適用檢查項的 90%
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。
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
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claude plugin marketplace add srpp011/dailymeteo-mcpclaude plugin install dailymeteo@dailymeteoclaude mcp add dailymeteo -s user -e [email protected] -e DAILYMETEO_PASSWORD=... -- uvx --python 3.12 dailymeteo-mcp{ "mcpServers": { "dailymeteo": { "command": "uvx", "args": ["--python", "3.12", "dailymeteo-mcp"], "env": { "DAILYMETEO_EMAIL": "[email protected]", "DAILYMETEO_PASSWORD": "..." } } }}docker build -t dailymeteo-mcp .claude mcp add-json dailymeteo -s user '{"type":"stdio","command":"docker","args":["run","-i","--rm","-e","DAILYMETEO_EMAIL","-e","DAILYMETEO_PASSWORD","-v","/path/to/output:/data","dailymeteo-mcp"]}'