MCP Weather Service
A weather service built using Model-Context-Protocol (MCP) that provides current weather and forecasts for Indian cities using WeatherAPI.com.
README
MCP Weather Service
A weather service built using Model-Context-Protocol (MCP) that provides current weather and forecasts for Indian cities using WeatherAPI.com.
Prerequisites
- Python 3.13 or higher
- uv package manager
- WeatherAPI.com API key
- Groq API key (for the chat interface)
- Claude for Desktop (for testing with Claude)
Installation
- Clone the repository:
git clone <your-repo-url>
cd mcp-server
- Create a
.envfile in the project root with your API keys:
# WeatherAPI.com API Key
WEATHER_API_KEY=your_weather_api_key_here
# Groq API Key
GROQ_API_KEY=your_groq_api_key_here
- Install dependencies using uv:
uv pip install -e .
Running the Service
Development Mode
To run the weather service in development mode:
uv run mcp dev server/weather.py
Install and Run
To install and run the service on desktop claude:
uv run mcp install server/weather.py
Setting up weather.json
The weather.json configuration file is required for the chat interface.
1, Testing your server with Claude for Desktop:
- Open VS Code and run:
code $env:AppData\Claude\claude_desktop_config.json - Add the following configuration:
{ "mcpServers": { "weather": { "command": "uv", "args": [ "--directory", "C:\\ABSOLUTE\\PATH\\TO\\YOUR\\mcp-server", "run", "server/weather.py" ] } } } - Replace
C:\\ABSOLUTE\\PATH\\TO\\YOUR\\mcp-serverwith your actual project path
-
For Chat Interface (client.py):
- The
weather.jsonfile should be in yourserverdirectory - Make sure it contains:
{ "mcpServers": { "weather": { "command": "uv", "args": [ "--directory", "C:\\ABSOLUTE\\PATH\\TO\\YOUR\\mcp-server", "run", "server/weather.py" ] } } } - Replace
C:\\ABSOLUTE\\PATH\\TO\\YOUR\\mcp-serverwith your actual project path
- The
-
Restart Claude for Desktop after making changes
Using the Chat Interface
Run the chat client to interact with the weather service:
python server/client.py
The chat interface supports:
- Getting current weather for any Indian city
- Getting 3-day weather forecasts
- Natural language queries about weather
Commands:
- Type 'exit' or 'quit' to end the conversation
- Type 'clear' to clear conversation history
Features
-
Current weather information:
- Temperature in Celsius
- Weather condition
- Humidity
- Wind speed
- Last updated timestamp
-
3-day weather forecast:
- Daily high and low temperatures
- Weather conditions
- Date-specific forecasts
Project Structure
mcp-server/
├── server/
│ ├── weather.py # Weather service implementation
│ ├── client.py # Chat interface
│ └── weather.json # MCP server configuration
├── .env # API keys configuration
├── pyproject.toml # Project dependencies
└── README.md # This file
API Keys
-
WeatherAPI.com:
- Sign up at WeatherAPI.com
- Get your free API key
- Add it to
.envasWEATHER_API_KEY
-
Groq API:
- Sign up at Groq Console
- Get your API key
- Add it to
.envasGROQ_API_KEY
Contributing
Feel free to submit issues and enhancement requests!
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.