The AccuWeather MCP server provides an interface for accessing weather data through the Model Context Protocol (MCP). It allows integration with AI chat tools and supports Docker deployment.
From the registry: MCP server providing weather tools with data sourced from AccuWeather.
Please install the `accuweather-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Docker** — The canonical install path is the prebuilt Docker image jonjam/accuweather-mcp. (https://docs.docker.com/get-docker/)
- **Get an AccuWeather API key** — Sign up for an AccuWeather developer account and create an API key. (https://developer.accuweather.com/)
Canonical MCP server config (stdio transport):
- command: `docker`
- args: ["run","--rm","-i","--env","ACCUWEATHER_API_KEY","jonjam/accuweather-mcp:latest"]
- required environment variables:
- `ACCUWEATHER_API_KEY`: Your AccuWeather API key. (example: `<your-accuweather-api-key>`)
Note: Spring Boot Java MCP server. Alternatively install directly from the MCP Registry as io.github.jonjam/accuweather-mcp, or run the built jar locally.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.ACCUWEATHER_API_KEYrequiredAPI key for accessing AccuWeather services.MCP server for searching Airweave collections with natural language queries.