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Give AI agents weather, forecast, air quality, and alert intelligence tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Weather-MCP-Server" yet — see the docs or source repo.
Use Weather-MCP-Server to get Shanghai's current weather, feels-like temperature, air quality, and UV index, then give brief advice with cited sources.
Returns current weather, air quality, and UV details with source grounding and brief travel advice.
Use Weather-MCP-Server to provide Beijing's weather forecast for the next few days, highlighting temperature changes, rain risk, and any weather alerts.
Outputs a day-by-day forecast summary with temperature trends, precipitation risk, and relevant alerts.
I'm planning outdoor activities in Shenzhen this weekend. Use Weather-MCP-Server to combine current weather, forecast, UV index, and alerts to assess whether conditions are suitable.
Provides a decision-oriented weather assessment and explains the key factors affecting the recommendation.
Developers can connect this MCP tool to an AI assistant so the model can directly query current weather, forecasts, air quality, UV index, and alerts. It fits conversational apps that need real-world environmental data.
Research or product teams can use it to deliver weather answers with citations, improving traceability. It is suitable for scenarios that require more reliable, source-grounded responses.
When a task requires multiple weather signals, an agent can use its orchestration and memory capabilities to combine weather, air quality, and alert results. This is useful for multi-step decisions or ongoing conversations.
It provides MCP weather intelligence tools, including current weather, forecasts, air quality, UV index, and weather alerts. The description also mentions agentic orchestration, memory, and citation-grounded RAG.
Based on its name and description, it is an MCP tool and is better suited for developers or integration into AI agents. For exact integration steps, see the source repository.
The provided material does not specify installation steps, runtime requirements, or API key needs. Please see the source repository for prerequisites.
Provides current weather and forecasts for AI-powered, context-aware applications.
Get current weather, forecasts, and travel recommendations through an MCP server.
Query current weather and forecasts in natural language for app integrations.
Enables AI agents to fetch current, forecast, and historical weather data.
Get weather forecasts via MCP while learning AI tool integration patterns.
Give AI real-time weather, air quality, and forecast query capabilities.