AccuWeather MCP Server

MCP server providing weather tools with data sourced from AccuWeather.

Local serverstdio

What is the AccuWeather MCP MCP server?

If you already use AccuWeather MCP, the accuweather mcp mcp server is the piece that lets your assistant work with it directly. MCP server providing weather tools with data sourced from AccuWeather.

What the server does

This was sourced from this blog.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • feat — add new forecast endpoint
  • fix — correct hourly forecast time calculation
  • Spotless — This project uses the Spotless Gradle plugin to enforce a consistent Java style
  • Checkstyle — Static analysis and broader code-quality checks are handled by Checkstyle using a Google-style-based configuration (with formatting delegated to

Installation

@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Credentials and setup notes

Configuration is passed through the environment: ACCUWEATHER_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Where it fits

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. AccuWeather MCP's toolset — feat, fix, Spotless and 1 more — is a fair guide to whether it matches your workflow. It is maintained by JonJam; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
featadd new forecast endpoint
fixcorrect hourly forecast time calculation
SpotlessThis project uses the Spotless Gradle plugin to enforce a consistent Java style.
CheckstyleStatic analysis and broader code-quality checks are handled by Checkstyle using a Google-style-based configuration (with formatting delegated to Spotless):

How to install the AccuWeather MCP MCP server

{
  "mcpServers": {
    "accuweather": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/inspector"],
      "env": {
        "ACCUWEATHER_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
ACCUWEATHER_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use AccuWeather MCP to feat.
  • Use AccuWeather MCP to fix.
  • Use AccuWeather MCP to Spotless.

Frequently asked questions

It connects AccuWeather MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 4 tools (feat, fix, Spotless, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with AccuWeather MCP directly.