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  3. Weather MCP Server
Weather MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:48:06 PM

Weather MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository24 GitHub StarsTotal stargazers on GitHub for the source repository (24 stars).Visit Website
weatherenvironmentlocation-servicesforecasting

Retrieves current conditions, forecasts, historical weather, alerts, air quality, and location data through WeatherAPI.com.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "devilcoder01-weather-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🗺️ More in Location Services

Overview

The devilcoder01/weather-mcp-server MCP server connects AI assistants to WeatherAPI.com for weather and location data. Built with FastAPI and the MCP framework, it exposes information including current conditions, forecasts, historical weather, alerts, air quality, astronomy, time zones, and sports events. It requires Python 3.13 or later, uv, and a WeatherAPI key. Reach for it when an assistant needs structured weather information for a specified location.

Use cases

•Retrieve current conditions for a location
•Check a one- to fourteen-day forecast
•Look up historical weather data
•Find air quality and weather alerts
•Query sunrise, sunset, or time zone information

Key features

•Current weather conditions
•One- to fourteen-day forecasts
•Historical weather data
•Weather alerts and air quality
•Astronomy and timezone data
•Location search and sports events

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Weather MCP Server.

Extracted Tool Capabilities
Current weather conditions
One- to fourteen-day forecasts
Historical weather data
Weather alerts and air quality
Astronomy and timezone data
Location search and sports events

How Weather MCP Server works

What devilcoder01/weather-mcp-server MCP server does

The devilcoder01/weather-mcp-server MCP server gives MCP-compatible assistants access to weather information from WeatherAPI.com. Its documented coverage includes both current and historical conditions, forecasts ranging from one to fourteen days, weather alerts, air quality, astronomy details, location lookup, time zones, and sports events.

This makes it suitable for assistants that need to answer location-based weather questions or combine weather data with planning and informational workflows. The source material does not specify individual MCP tool names or their exact input and output schemas, so integrations should be evaluated against the server's implementation before depending on a particular operation.

How it works

The project is implemented in Python using FastAPI and an MCP framework. A client connects to the locally running server, and the server uses the configured WeatherAPI.com credential to retrieve weather-related data. The documented default address is http://localhost:8000.

Requests depend on the WeatherAPI service and an API key supplied by the operator. The README does not document caching, persistence, rate-limit handling, response transformation, or a remote hosted endpoint.

Setup and configuration

The documented prerequisites are Python 3.13 or newer, the uv package manager, and a WeatherAPI API key. Manual setup starts by cloning the repository, entering the project directory, creating a virtual environment with uv venv, and installing the project in editable mode with uv pip install -e ..

Create a .env file in the project root and set the required variable:

dotenv
WEATHER_API_KEY=your_api_key_here

The devilcoder01/weather-mcp-server MCP server is started with python main.py. According to the README, it listens on port 8000 by default. The project also documents Smithery installation for Claude Desktop, but that route uses the Smithery CLI rather than a direct project command.

Tools and capabilities

Documented data areas include:

  • Current weather conditions
  • One- to fourteen-day forecasts
  • Historical weather data
  • Weather alerts
  • Air quality information
  • Sunrise, sunset, and moon-phase data
  • Location search
  • Time zone information
  • Sports events

These capabilities are described at the feature level; the supplied material does not provide a complete tool list, parameter reference, or example MCP calls.

Limitations and notes

A WeatherAPI.com API key is required, and the source material does not state whether a free or paid WeatherAPI plan is needed. Python 3.13 or later and uv are also listed as requirements. The README identifies Claude Desktop as a Smithery installation target, but it does not explicitly list compatibility with other MCP clients. No hosted service URL is provided, so the documented usage is local execution.

The repository states that it is licensed under MIT. Forecast coverage is documented as one to fourteen days, while historical data, alerts, air quality, astronomy, location, time zone, and sports-event support are listed without further scope or retention details.

Read the full README →View source on GitHub →

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View all in Location Services View all alternatives
  • MCP Weather logoMCP Weather

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  • Weather MCP ClaudeDesktop logoWeather MCP ClaudeDesktop

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  • MCP Weather Server logoMCP Weather Server

    Get weather information from https://api.open-meteo.com API.

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  • Weekly Weather MCP logoWeekly Weather MCP

    Weekly Weather MCP server which returns 7 full days of detailed weather forecasts anywhere in the world.

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
24
Stargazers on the source repository.
npm downloads
30k
Package downloads in the last 30 days.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Weather MCP Server

Clone the repository, enter its directory, create a uv virtual environment, install the project with uv pip install -e ., configure WEATHER_API_KEY, and run python main.py. The README also documents Smithery installation for Claude Desktop.

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Technical Specs & Signals

Category🗺️Location Services
PricingBring your own API key (usage-based cost)
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedSep 4, 2026
10/10 checks healthy over the last 32d
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars24
GitHub Star CountTotal stargazers on GitHub representing community popularity (24 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 21, 2025
npm downloads30,651/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
53Quality signal: Good · 53/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity6/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 18d ago via OSV.dev ¡ @smithery/cli (npm)

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More in 🗺️ Location Services →Best MCP servers for Maps & Location →Alternatives to Weather MCP Server →Install in Claude DesktopInstall in CursorInstall in VS Code