Weather Forecast MCP Server
Pricing
from $0.05 / 1,000 forecast fetcheds
Weather Forecast MCP Server
Weather forecasts by coordinates or city name using Open-Meteo. MCP server for AI agents.
Pricing
from $0.05 / 1,000 forecast fetcheds
Rating
0.0
(0)
Developer
Marek Pommier
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
Categories
Share
Weather forecasts by coordinates or city name using Open-Meteo. MCP server for AI agents.
MCP tools
| Tool | What it does |
|---|---|
search_city | Geocode a city name. Returns coordinates, country and admin area for matching places. |
get_forecast | Get a daily weather forecast for coordinates (1-16 days). Returns current weather and daily outlook. |
get_weather | Get a weather forecast for a city by name. Geocodes the city, then returns the forecast. |
Connect from your AI agent
Streamable HTTP endpoint:
https://quodlibetical-buffalo--weather-mcp.apify.actor/mcp
Claude Desktop / Cursor / any MCP client:
{"mcpServers": {"weather-mcp": {"type": "streamable-http","url": "https://quodlibetical-buffalo--weather-mcp.apify.actor/mcp","headers": {"Authorization": "Bearer YOUR_APIFY_TOKEN"}}}}
Standby endpoints require an Apify API token — pass any Apify token (apify_api_...) as a Bearer header or as a token query parameter.
Input (batch run)
| Field | Type | Default | Description |
|---|---|---|---|
city | string | Warsaw | City name for geocoding. |
latitude | number | 52.2297 | Latitude (overrides city). |
longitude | number | 21.0122 | Longitude (overrides city). |
days | integer | 7 | Number of forecast days (1-16). |
mode | string | batch | Legacy switch. Normal runs always execute batch mode. |
Run it on Apify with default input {} to get a demo record in the dataset.
Pricing (pay-per-event)
- forecast-fetched — Forecast Fetched: $5e-05 per event
Pay only for events. Prices are set ~30% below the market benchmark for this category.
Run it as an Actor
Start a run with empty input {} — the Actor executes its batch mode, pushes one demo record to the dataset and exits successfully.