Sunshine Atlas MCP

Communauté Autres

Monthly sunshine scores, temperatures, rainfall and sea temperatures for destinations: sunny-month rankings, when-to-visit lookups and comparisons.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Sunshine Atlas MCP server
  2. Tools
  3. Connect a client
  4. Self-host
  5. Data & methodology
  6. License

Sunshine Atlas MCP server

A remote, read-only Model Context Protocol server that answers "where is it sunny?" with data: monthly 0–100 Sunshine Scores, day/night temperatures, rainfall and sea temperature for 3,833 destinations — every one with its own airport — from long-term climate normals. It serves the same open dataset published at sunshineatlas.com/data (CC BY 4.0, DOI 10.5281/zenodo.21322408).

Live endpoint (no key, no signup):

https://sunshineatlas.com/api/mcp

Listed in the official MCP registry as com.sunshineatlas/sunshine-atlas. Docs page: sunshineatlas.com/mcp.

Tools

ToolAnswers
find_sunny_destinations"Where is it sunny (and warm) in November?" — ranked by that month's Sunshine Score, filterable by continent/country, minimum day temperature, swimmable sea (≥21 °C), population
get_destination_climate"When is the best time to visit Faro?" — full 12-month climate card for one destination (city, "city, country" or IATA code)
compare_destinations"Algarve or Crete in October?" — side-by-side comparison of 2–5 destinations with a one-line verdict

Every result carries attribution and citable sunshineatlas.com destination URLs.

Connect a client

Claude Code

claude mcp add --transport http sunshine-atlas https://sunshineatlas.com/api/mcp

Claude (custom connector), ChatGPT connectors, or any Streamable-HTTP client — add the URL https://sunshineatlas.com/api/mcp.

Generic JSON config (Cursor, etc.)

{
  "mcpServers": {
    "sunshine-atlas": {
      "url": "https://sunshineatlas.com/api/mcp"
    }
  }
}

Self-host

The server is a single stateless Node file (fresh McpServer per request, plain JSON responses, binds to 127.0.0.1 — put it behind your reverse proxy). It reads one dataset file and hot-reloads it on mtime change.

npm install
curl -O https://sunshineatlas.com/data/sunshine-atlas-destinations.json
PORT=8787 DATA_FILE=./sunshine-atlas-destinations.json node server.mjs

GET /healthz reports status and destination count. server.json is the MCP-registry manifest.

Data & methodology

  • Sunshine Score = 100 × warmth × (0.5 + 0.5 × (0.55 × dryness + 0.45 × sunniness)), computed from long-term climate normals — methodology.
  • Sources: temperature, rainfall and sunshine from NASA POWER climatology (2001–2020); places & populations from GeoNames & OurAirports; sea temperatures via Open-Meteo Marine.
  • Dataset: sunshineatlas.com/data · CSV/JSON · CC BY 4.0 · mirrors on GitHub, Hugging Face, Kaggle.

License

Code MIT. Data CC BY 4.0 (credit "Sunshine Atlas" + link). Not a forecast — climate normals describe typical conditions, not this week's weather.

Questions fréquentes

Qu'est-ce que Sunshine Atlas MCP ?

Monthly sunshine scores, temperatures, rainfall and sea temperatures for destinations: sunny-month rankings, when-to-visit lookups and comparisons.

Comment installer Sunshine Atlas MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Sunshine Atlas MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Sunshine Atlas MCP ?

Il est publié par Flightmussy. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.