Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server for AEMET: Spain's official forecasts, warnings, observations and climate data.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AEMET_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"aemet": {
"command": "npx",
"args": [
"-y",
"aemet-mcp"
],
"env": {
"AEMET_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add aemet --env AEMET_API_KEY=your-value -- npx -y aemet-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aemet": {
"command": "npx",
"args": [
"-y",
"aemet-mcp"
],
"env": {
"AEMET_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"aemet": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"aemet-mcp"
],
"env": {
"AEMET_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account jocarrd, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: AEMET_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.3) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Asset Notation
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.
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A Model Context Protocol server that lets LLM clients — Claude Desktop, Cursor, Windsurf, Zed, custom agents — answer questions about Spain's weather using real data from AEMET, the State Meteorological Agency.
Versión en español · Servidor MCP con ocho herramientas
sobre los datos abiertos de AEMET. Requiere Node.js 20.19 o superior.
Built on top of aemet-client, the same TypeScript SDK that powers snowy.es.
Runs locally over stdio — no hosted infrastructure, no shared API key. Every user supplies their own free AEMET key.
Free, takes about a minute:
Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows and add:
{
"mcpServers": { "aemet": { "command": "npx", "args": ["-y", "aemet-mcp"], "env": { "AEMET_API_KEY": "paste-your-key-here" } } } }
Restart Claude Desktop and ask: _"What's the weather forecast for Madrid this week?"_, _"Are there any active weather warnings in Catalonia right now?"_, _"How much did it rain in Logroño last August?"_ or _"What's the water temperature at La Concha?"_.
Same config object — every MCP-capable client accepts the { command, args, env } shape. See their docs for where the config file lives.
get_forecastAEMET's official forecast for any of Spain's 8000+ municipalities.
| Argument | Type | Notes | |
|---|---|---|---|
location | string | Name ("Madrid", "Logroño", "A Coruña") or 5-digit INE code | |
days | integer 1-7 (optional) | Defaults to 3. Ignored when granularity="hourly" | |
granularity | "daily" \ | "hourly" | Daily summary or next ~40h hour-by-hour |
get_warningsActive CAP (Common Alerting Protocol) warnings for an autonomous community or the whole country.
| Argument | Type | Notes | |||||
|---|---|---|---|---|---|---|---|
area | string | "Cataluña", "Madrid", "73" (La Rioja), "esp" … | |||||
language | `"es" \ | "en" \ | "ca" \ | "gl" \ | "eu" \ | "any"` | Preferred warning language. Defaults to "es" |
minSeverity | `"Minor" \ | "Moderate" \ | "Severe" \ | "Extreme"` | Drop warnings below this threshold |
get_nearest_observationLatest real-time observation (temperature, humidity, wind, precipitation, pressure, visibility) from the AEMET station closest to a location.
| Argument | Type | Notes |
|---|---|---|
location | string | Municipality name, INE code, or decimal coordinate pair ("40.4168,-3.7038") |
get_climate_historyHistorical climate data from the AEMET station closest to a location: either daily records over a date range or the station's long-term monthly normals.
| Argument | Type | Notes | |
|---|---|---|---|
location | string | Municipality name, INE code, or decimal coordinate pair | |
mode | "range" \ | "normals" | "range" (default) reads daily records. "normals" reads monthly averages |
from | string | YYYY-MM-DD. Required for "range" | |
to | string (optional) | YYYY-MM-DD, defaults to today |
AEMET caps daily climate queries at 186 days per request, so longer ranges are rejected with a message explaining it. Ranges over a month come back aggregated by month (mean max/min, extremes, total precipitation, rain days) instead of one line per day.
get_beach_forecastThree-day forecast for any of the 591 beaches AEMET covers during the bathing season: sky, wind and waves split into morning and afternoon, plus maximum temperature, water temperature, thermal sensation and UV index.
| Argument | Type | Notes |
|---|---|---|
location | string | Beach name ("La Concha", "Es Trenc"), a coastal municipality to list its beaches, or the 7-digit AEMET beach code |
municipality | string (optional) | Municipality or province, to disambiguate beaches that share a name |
days | integer 1-3 | Defaults to 3 |
Names resolve without accents and tolerate how people actually write them ("la kontxa", "playa de la concha, suances"). When a name matches more than one beach, the server answers with the candidates and their codes. Outside the bathing season AEMET stops publishing and the tool says so.
get_mountain_forecastAEMET's mountain bulletin for the nine areas it covers: the forecast by section, freezing-level altitudes, free-atmosphere winds, and temperatures at named refuges and passes with their altitude. Also serves the last 24 hours.
| Argument | Type | Notes | |
|---|---|---|---|
area | string | Area name or code: Picos de Europa (peu1), Pirineo Navarro (nav1), Pirineo Aragonés (arn1), Pirineo Catalán (cat1), Ibérica Riojana (rio1), Ibérica Aragonesa (arn2), Sierras de Guadarrama y Somosierra (mad2), Sierra de Gredos (gre1), Sierra Nevada (nev1) | |
mode | "forecast" \ | "past" | Forecast (default) or the last 24 hours |
day | integer 0-3 | Days ahead for the forecast, 0 (today) by default |
Common aliases work: "Guadarrama", "Moncayo", "Urbión", "Peñibética", "Val d'Aran", "Gredos".
get_maritime_forecastAEMET's marine bulletins: coastal waters (8 areas) and high seas (3 areas), with warnings, the synoptic situation, the forecast per zone and the trend for the following day.
| Argument | Type | Notes | |
|---|---|---|---|
area | string | Zone, coastal province or region ("Gipuzkoa", "Girona", "Mar Menor", "Gran Sol", "Alborán"), or a code: 40-47 coastal, 0-2 high seas | |
product | "coastal" \ | "high_seas" | Force one of the two products when a name exists in both |
AEMET writes wind, sea state and visibility as a single text per zone, so the tool passes that text through rather than splitting it with guesswork.
get_air_qualityBackground pollution from AEMET's rural EMEP/VAG/CAMP reference network: regional background air, not urban air quality.
| Argument | Type | Notes |
|---|---|---|
station | string (optional) | Station name or 2-digit code ("Campisábalos", "Doñana", "09") |
location | string (optional) | Municipality, INE code or coordinates; resolves the nearest station and reports the distance |
Measurements carry AEMET's validation codes, and values flagged as invalid are labelled so a model does not quote them as real readings.
AEMET rate-limits its API and some responses are heavy: the station inventory alone is 926 entries, and the server reads it on every climate query. Responses are therefore cached in memory for 10 minutes by default, per endpoint.
Set AEMET_CACHE_TTL in the same env block as the API key to change it, in seconds, or to 0 to turn caching off:
"env": {
"AEMET_API_KEY": "paste-your-key-here", "AEMET_CACHE_TTL": "1800" }
The cache lives in the server process, so it disappears when your MCP client closes it. Pass your own cache adapter through clientConfig if you need something shared or persistent.
If you're building your own MCP integration, the server is also exposed as a library:
import { createServer } from "aemet-mcp";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
const { server } = createServer({ apiKey: process.env.AEMET_API_KEY }); await server.connect(new StdioServerTransport());
You can pass an existing AemetClient (for example one wired to a Redis cache) instead of an API key:
import { AemetClient } from "aemet-client";
import { createServer } from "aemet-mcp";
const client = new AemetClient({ apiKey, cache: { adapter: redisAdapter } }); const { server } = createServer({ client });
location accepts free-form names because the package embeds the full INE municipality dataset (8000+ entries) shipped by aemet-client. Searching for "logrono", "Logroño" or "26089" all resolve to the same place. Decimal coordinates resolve to the nearest municipality.
For autonomous communities, common aliases work: "Cataluña", "catalunya", "Catalonia", "Euskadi", "País Vasco", "Comunitat Valenciana", etc.
MIT © [Jorge C
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