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Get real-time city weather and contextual insights in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "weather-mcp" yet — see the docs or source repo.
Check Shanghai's current real-time weather and explain it in simple English.
Returns Shanghai's real-time weather data with a short, readable explanation.
Help me check Tokyo's real-time weather and say whether it is suitable to go out now.
Provides Tokyo's current weather and a travel-oriented natural-language suggestion.
Use weather-mcp to get Beijing's real-time weather and summarize the key points.
Outputs structured weather highlights and a natural-language summary for Beijing.
Before commuting or heading out, users can quickly check any city's real-time weather and get a readable explanation.
Developers can connect the weather capability inside an MCP-enabled client so the assistant can add current weather context.
When users want a simple conclusion like what the weather is like now and whether it is good to go out, it turns live data into natural-language insights.
It is an MCP tool that combines the OpenWeather API, a RAG pipeline, and Groq LLM to provide real-time weather data and natural-language insights for any city.
You can use it through MCP-compatible clients; GitHub Copilot is mentioned in the description.
The description mentions OpenWeather API and Groq LLM as dependencies; see the source repository for exact setup details.
Query current weather and forecasts in natural language for app integrations.
Enable AI assistants to fetch real-time weather for any city.
Query real-time weather data for cities worldwide with automatic geocoding.
Query current weather, forecasts, and related climate data in natural language.
Query live city weather with get_weather, no API key needed.
Retrieve live weather updates for any city through an MCP-compatible tool.