What Python version is required?
Python 3.12 or higher is required.
@xiaoye-hua
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_client_example": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Client & Server Example is a reference implementation of a Model Context Protocol (MCP) client and server that provides weather data using the National Weather Service API and integrates with Claude AI. It is intended for developers learning MCP or building AI-powered weather tools.
Clone the repository, install uv (Python package installer), create a virtual environment, install dependencies with uv pip install -e ., copy .env.example to .env, paste your Anthropic API key, then run the server or client scripts (e.g., weather_server.py, client_example.py).
uv based.env for API keyPython 3.12 or higher is required.
`uv` (Python package installer) and an Anthropic API key stored in a `.env` file.
Clone the repository, run `uv venv` to create a virtual environment, activate it, then run `uv pip install -e .` to install all dependencies.
The server uses the National Weather Service API to provide weather data.
It includes `weather_server.py` (MCP server), `client_example.py` (interactive client with Claude), and `weather_example.py` (example using the National Weather Service).

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