Weather for Grown Ups MCP server

by janhelcl·io.github.janhelcl/weather-for-grown-ups·v0.5.5

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Operational NWP, ensembles, AI weather models, regional forecasts, history, and verification.

A92/100grade A

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A92/100

full report

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Growing

0 stars60 downloads/wk

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Weather for Grown Ups tools (7)

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Read from the package source without running it. The installed server may list more.

compare_datasets
Compare only explicitly registered, scientifically compatible atmospheric dataset pairs at one point and valid time. Registered pairs: …. Pair contracts choose pressure-level or field selection explicitly. Global↔regional strategies require one shared explicit initialization cycle, sample each native grid independently at the requested coordinate, and never silently regrid or downscale. Ensemble c
compare_runs
Compare forecast initialization cycles for GFS, GEFS, deterministic ECMWF IFS, or ECMWF IFS ENS through one dataset-aware contract. Deterministic GFS and IFS return newer-minus-older changes; GEFS and IFS ENS return shifts between independently summarized ensemble distributions and never treat member labels as trajectories. IFS ENS can compare 6-hourly cycles or use a 12-hour stride for long-range
diagnose_atmosphere
find_analogs
Find locally materialized historical analyses similar to one target atmospheric profile. The current dataset is gfs-analysis; similarity uses the existing standardized profile metric and U/V wind representation. This is model-state similarity, not climatological rarity or impact-specific similarity.
query_atmosphere
Query atmospheric state through one dataset × geometry × time × selection contract across every public dataset: …. Selection may be omitted for the dataset-aware default. Dataset-native domain, cadence, grid, provenance, deterministic/member-first semantics and capability limits stay explicit; unsupported combinations fail rather than being coerced into fake symmetry.
search_catalog
Search one canonical catalog across all atmospheric datasets. Results use shared variable, field and diagnostic IDs and explicitly list which datasets support each match. Use spatialScope and coverage to discover global or limited-area datasets that fully cover a point or bounded area; capability rows expose native grid, nominal resolution, cadence and horizon. For GEFS, forecastKind can distingui
verify_forecast
Verify archived GFS forecasts against either later GFS analysis or IGRA v2.2 radiosondes. Atomic form uses time.at plus one leadHours value. Both references support a bounded skill-summary form using time.from/time.to plus up to three leadHours values: WFG deterministically samples at most eight nominal verification times and aggregates count, signed bias, MAE and RMSE by lead × pressure × field w

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings

Code scan760 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 21 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Weather for Grown Ups compares

Against every graded Maps and travel MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 92/100; higher than 95% of 681 Maps and travel servers
Tools: 7; the typical Maps and travel server has 6
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break
Downloads a week: 60; more than 51% of 150 Maps and travel servers with a package

What its tools let an agent do: 7 read

Install Weather for Grown Ups in Claude Code, Cursor or VS Code

Runs npx -y weather-for-grown-ups on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add weather-for-grown-ups -- npx -y weather-for-grown-ups

Add to Cursor

What the publisher says

From the Weather for Grown Ups repository's README, as published. We do not edit it. Read it on GitHub

Weather for Grown Ups

Weather is the hello-world of agent tools. WFG is for when “temperature tomorrow” stops being enough.

One query language for operational NWP: global and regional models, deterministic and ensemble forecasts, physics and AI, current runs and history.

Ask the same atmospheric question across models without flattening what makes the models different.

30-second start

Requires Node.js 20+.

npx weather-for-grown-ups catalog --dataset all --search wind --json

npx weather-for-grown-ups query \
  --dataset gfs \
  --lat 50.08 --lon 14.43 \
  --at 2026-08-24T12:00:00Z \
  --vars temperature,wind \
  --levels 850,700,500 \
  --json

For repeated use:

npm install -g weather-for-grown-ups
wfg --help

The contract

Normal atmospheric access is four orthogonal choices:

dataset × geometry × time × selection

{
  "dataset": "gefs",
  "geometry": {
    "type": "point",
    "latitude": 50.08,
    "longitude": 14.43
  },
  "time": {
    "at": "2026-08-30T12:00:00Z"
  },
  "selection": {
    "variables": ["temperature", "wind"],
    "pressureLevelsHpa": [850, 700, 500]
  },
  "ensemble": {
    "quantiles": [0.1, 0.5, 0.9]
  }
}

Change the dataset; keep the question. Unsupported combinations fail rather than being coerced into fake symmetry.

Read the unified atmospheric API →

Ask harder questions

Start with the question. Let the agent build the forecast investigation from scratch.

01 — Give me the serious forecast

What does the atmosphere over Prague look like tomorrow afternoon? Cover the surface and vertical structure, compare the main global guidance, and show which parts are robust across the ensembles.

GFS + IFS → pressure profiles → GEFS + IFS ENS → regional model if useful

02 — Is a front coming?

Is a frontal passage expected near Prague tomorrow? If so, when does it arrive, what changes through the column, and how consistent are the models?

GFS + IFS → time evolution → pressure profiles → GEFS + IFS ENS → align latest vs previous runs

03 — AI vs physics

How do AIFS and IFS describe the atmosphere over Prague tomorrow? Where do they disagree through time and height, and is that disagreement large relative to their ensemble uncertainty?

align IFS, AIFS → pressure profiles → align IFS ENS, AIFS ENS

04 — Plan a paragliding day

I’m planning to paraglide around Bassano tomorrow. How does the convective window develop through the day, what do the wind profile and stability look like, and how robust is the picture across ensembles and global/regional guidance?

profiles → parcel diagnostics → wind through the column → time evolution → ensembles → global + regional models

05 — Verify an old forecast

What did GFS predict three days ago for Prague today, and how well did that forecast verify?

archived forecast → analysis / radiosonde → error → lead provenance

Explore the investigation gallery →

Models

GFS · GEFS · AIGFS · AIGEFS · HGEFS · IFS · IFS ENS · AIFS · AIFS ENS · ICON-D2 · ICON-D2-EPS · AROME · PE-AROME · GFS analysis · GEFSv12 reforecast

Capabilities come from the catalog. Native grids, cadence, domains, members, fields and provenance remain explicit.

wfg catalog --dataset all --json

Agents

WFG exposes the same core through CLI and MCP.

Shell available → CLI. No shell / remote → MCP.

npx weather-for-grown-ups mcp

Add the portable WFG skill, then pick a setup guide: Codex · Claude Code · Hermes · OpenClaw · other agents

Go deeper

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Weather for Grown Ups: common questions

Is Weather for Grown Ups MCP server safe?: Yes, by our scan: it is graded A (92/100). Read the Weather for Grown Ups safety report
How do I install Weather for Grown Ups?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Weather for Grown Ups need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Weather for Grown Ups maintained?: The last commit was 54 days ago (2026-09-11). The latest release is v0.5.5.
What can I use instead of Weather for Grown Ups?: Servers from other publishers that do the same job: Weather Data MCP Server, Open Meteo MCP server and Smarter Weather MCP server.
How does Weather for Grown Ups compare with other Maps and travel MCP servers?: safety score 92/100 (higher than 95% of 681 Maps and travel servers); tools 7 (the typical Maps and travel server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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