weather-mcp-server
MCP server from devilcoder01/weather-mcp-server
- • Basic MCP protocol features implemented (12/40)
- • Room for improvement in GitHub community
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust badge (2/2)
{
"devilcoder01-weather-mcp-server": {
"command": "python",
"args": [
"main.py"
],
"env": {}
}
}Weather MCP Server
A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more.
Features
- Current weather conditions
- Weather forecasts (1-14 days)
- Historical weather data
- Weather alerts
- Air quality information
- Astronomy data (sunrise, sunset, moon phases)
- Location search
- Timezone information
- Sports events
Requirements
- Python 3.13+
- uv package manager
- WeatherAPI API key
Installation
Installing via Smithery
To install Weather Data Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude
Manual Installation
-
Clone this repository:
git clone https://github.com/yourusername/Weather_mcp_server.git cd Weather_mcp_server -
Install dependencies using uv:
uv venv uv pip install -e . -
Create a
.envfile in the project root with your WeatherAPI key:WEATHER_API_KEY=your_api_key_here
Usage
Run the server:
python main.py
The server will start on http://localhost:8000 by default.
License
This project is licensed under the MIT License - see the LICENSE file for details.
[](https://archestra.ai/mcp-catalog/devilcoder01__weather-mcp-server)Weather MCP Server
A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more.
Features
- Current weather conditions
- Weather forecasts (1-14 days)
- Historical weather data
- Weather alerts
- Air quality information
- Astronomy data (sunrise, sunset, moon phases)
- Location search
- Timezone information
- Sports events
Requirements
- Python 3.13+
- uv package manager
- WeatherAPI API key
Installation
Installing via Smithery
To install Weather Data Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude
Manual Installation
-
Clone this repository:
git clone https://github.com/yourusername/Weather_mcp_server.git cd Weather_mcp_server -
Install dependencies using uv:
uv venv uv pip install -e . -
Create a
.envfile in the project root with your WeatherAPI key:WEATHER_API_KEY=your_api_key_here
Usage
Run the server:
python main.py
The server will start on http://localhost:8000 by default.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Related MCP Servers
MongoDB
85/100Official MongoDB MCP server that enables AI assistants to interact with MongoDB databases and Atlas deployments. Supports CRUD operations, aggregation pipelines, collection management, indexing, and Atlas cluster administration.
mcp-google-sheets
73/100This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.
dbt-mcp
73/100A MCP (Model Context Protocol) server for interacting with dbt.
druid-mcp-server
73/100A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Druid clusters. Built with Spring Boot and Spring AI, this server enables seamless integration between AI assistants and Apache Druid through standardized MCP protocol.
mcp-snowflake-server
67/100MCP server from isaacwasserman/mcp-snowflake-server
elasticsearch-mcp-server
64/100A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.