What prerequisite is needed?
Make sure you run `pip install uv` before starting the weather server.
@harshal-14
Basic information
MCP server example practice
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_101": {
"command": "uv",
"args": [
"run",
"weather.py"
]
}
}
}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.
This repository is a practice session for the MIT Hack Decentralized AI summit. It includes basic steps to create a Claude MCP (Model Context Protocol) server up and running in under 5 minutes on Windows, with examples for a weather app and a SQLite bakery database.
For the weather server: navigate to the weather directory and run uv run weather.py. For the SQLite example: clone the MCP servers repository, build a Docker image, and update your claude_config.json with the appropriate command and arguments.
uv package manager for Python projects.claude_config.json file.Make sure you run `pip install uv` before starting the weather server.
Navigate to File → Settings → Developer → Edit Config and provide the absolute path to your Python file in `claude_config.json`.
Change to the `weather` directory and execute `uv run weather.py`.
Clone the MCP servers repository, navigate to the `sqlite` directory, build the Docker image (`docker build -t mcp/sqlite .`), update Claude’s config with the Docker command, then create the `ingredients` table and populate it with 10 ingredients.
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