Weather MCP Server
The Weather MCP Server retrieves real-time weather information for specified cities using the OpenWeatherMap API.
Fetch Weather Data: Get detailed weather reports including temperature, humidity, wind speed, sunrise/sunset times, and weather descriptions
Metric Units: Weather data is provided in metric units (e.g., Celsius for temperature)
Integration: Can be configured to work with Claude Desktop for weather data retrieval
Developer-Friendly: Supports manual installation and configuration for development environments
Uses .env files for configuration management, particularly for storing the OpenWeatherMap API key
Includes instructions for cloning the repository as part of the setup process
Offers specific setup instructions for Linux environments
Includes macOS-specific setup instructions for the virtual environment
Requires Python 3.12 or higher for running the server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Weather MCP Server what's the weather like in London today?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Weather MCP Server
A Modern Code Protocol (MCP) server that provides weather information using the OpenWeatherMap API.
Features
Real-time weather data retrieval
Metric units for temperature
Detailed weather information including:
Temperature
Humidity
Wind Speed
Sunrise/Sunset times
Weather description
Related MCP server: Open Weather13 MCP Server
Prerequisites
Python 3.12 or higher
OpenWeatherMap API key
Installation
Installing via Smithery
To install Weather MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @CodeByWaqas/weather-mcp-server --client claudeManual Installation
Clone the repository
Create a virtual environment:
python -m venv .venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activateInstall dependencies:
pip install -e .Setup Intructions
Setup with Claude Desktop
# claude_desktop_config.json
# Can find location through:
# Claude -> Settings -> Developer -> Edit Config
{
"mcpServers": {
"mcp-weather-project": {
"command": "uv",
"args": [
"--directory",
"/<absolute-path>/weather-mcp-server/src/resources",
"run",
"server.py"
],
"env": {
"WEATHER_API_KEY": "YOUR_API_KEY"
}
}
}
}Local/Dev Setup Instructions
Clone repo
git clone https://github.com/CodeByWaqas/weather-mcp-server
Install dependencies
Install MCP server dependencies:
cd weather-mcp-server
# Create virtual environment and activate it
uv venv
source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows
# Install dependencies
uv add "mcp[cli]" python-dotenv requests httpxConfiguration
Copy
src/resources/env.exampletosrc/resources/.envAdd your OpenWeatherMap API key to the
.envfile:
WEATHER_API_KEY=your_api_key_hereUsage
Run the Claude Desktop and use LLM to retrieve weather info
License
This project is licensed under the MIT License - see the LICENSE file for details.
Available Tools
1 toolweatherC
It fetches the latest weather reports for the given city. Args: city (str): The city name for which weather reports are required. Returns: dict: The weather reports for the given city.
Inputs: city (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear, distinct purpose of fetching weather reports for a city.
The single tool name 'weather' is straightforward and descriptive. Since there is only one tool, naming consistency is inherently perfect with no deviations or mixed conventions to evaluate.
A single tool for a weather server is too few for the apparent scope, as it lacks essential operations like forecasts, historical data, or multi-location queries. This minimal set limits functionality and may cause agent failures in broader weather-related tasks.
The tool surface is severely incomplete for a weather domain, missing obvious gaps such as forecasts, alerts, or location-based searches. While it covers basic current weather, agents will struggle with common weather-related workflows due to these significant omissions.
Maintenance
Related MCP Connectors
An MCP server for weather information by @kulybaba
An MCP server for weather information by @kulybaba
MCP server for weather with reasoning — umbrella advice, outdoor checks, city comparisons.
Hosted MCP server for Xweather weather data: conditions, forecasts, alerts, and more.
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