Supports direct integration with LangChain through langchain-groq, enabling programmatic consumption of weather data in client applications

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Weather MCP Server what's the weather alert for Los Angeles?"

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.

uv init <project-name>

uv venv

uv venv --activate

uv add <package>
uv add -r requirements.txt
uv sync

uv run app.py

uv run dev

uv run build

uv add "mcp[cli]"

uv run mcp dev server/weather.py

uv run mcp install .\server\weather.py

{
 "mcpServers": {
 "weather": {
 "command": "uv",
 "args": [
 "run",
 "--with",
 "mcp[cli]",
 "mcp",
 "run",
 "C:\\Users\\Suraj\\Desktop\\Python\\mcp-crash-course\\mcpcrashcourse\\server\\weather.py"
 ]
 }
 }
}

uv add mcp-use

uv add langchain-groq

uv run server/client.py

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