Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Weather ServerWhat's the 5-day forecast for New York City?"
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.
MCP Weather Server
This repository provides a simple Model Context Protocol (MCP) server written in Python that exposes weather data as tools. It is packaged so it can be published to GitHub and (optionally) to PyPI.
The server is built on the official mcp Python SDK and uses the free Open‑Meteo APIs (no API key required).
Features
MCP-compliant server using
FastMCPTwo tools:
get_current_weather– current conditions for a cityget_daily_forecast– daily forecast for a city for the next N days
Runs locally in Python (stdio transport by default)
Installation
From the project root:
pip install -e .Or, using uv:
uv syncRunning the MCP server locally
You can run the server directly via the console script:
python -m mcp_weather_server.serverOr, if installed as a package:
mcp-weather-serverBy default it uses the stdio transport, which works with MCP-compatible clients (e.g. IDE integrations or LLM apps that support MCP).
Connecting with MCP Inspector (optional)
To experiment via HTTP instead of stdio, you can set the transport to streamable-http inside server.py and then run:
uv run --with mcp python -m mcp_weather_server.serverThen start the MCP Inspector:
npx -y @modelcontextprotocol/inspectorand connect to http://localhost:8000/mcp.
Git conventions
Commit messages must follow Conventional Commits (e.g.
feat: add daily forecast tool,fix(server): handle API errors).A Cursor rule at
.cursor/rules/git-conventional-commits.mdcdocuments the allowed types and format.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.