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 账号 srpp011 发布v0.2.2更新于 Nov 3, 2026
Historical weather and climate normals for any land location, 1 km grids, 1961 to today
发布方自己的服务:daily.dev
DailyMeteo MCP 让助手查询全球陆地的历史天气与气候常年值,数据来自 1 公里网格,覆盖 1961 年至今。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
参照 仓库 中的启动说明。
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.
来源: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).
无需输入参数。
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必填已满足适用检查项的 90%
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。
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
dev.daily官方发布者
daily.dev 远程 MCP 服务器,让助手访问开发者资讯流、帖子、书签、标签与搜索。

由 GitHub 账号 jonatanvazquez 发布
根据城市天气推荐今日穿搭,并按目的地提供旅行打包清单。公开、只读。AI 翻译

由 GitHub 账号 gregpunch 发布
只读状态服务,告诉助手哪些 AI API 和 MCP 服务器当前可用,并为给定任务推荐健康的服务商。

由 GitHub 账号 ldshaf 发布
一个远程 MCP 服务器,为助手提供每日一节圣经经文(含出处与译本)和一段简短反思,适合晨间简报。
dev.workers.notdown-app.cairn
一个远程 MCP 服务器,让助手记录每日构建条目,并累积公开的智能体构建连续天数、轨迹页和徽章。
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"]}'