Weather MCP Server
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., "@Weather MCP Serverwhat's the forecast for New York this weekend?"
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.
Setup & Run (concise)
Clone & install
git clone https://github.com/JessiP23/mcp.git
cd mcp/weather
# Python venv
python -m venv .venv
source .venv/bin/activate
pip install -U pipInstall uv (runtime)
macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# restart terminal after installWindows (PowerShell)
iwr -useb https://astral.sh/uv/install.ps1 | iex
# restart shell after installCreate project with uv (optional)
uv init weather
cd weather
uv venv
source .venv/bin/activate
uv add "mcp[cli]" httpx
touch weather.pyRun
Install Inspector (if needed):
npx @modelcontextprotocol/inspector@latest --versionRun the MCP server via Inspector:
npx @modelcontextprotocol/inspector uv --directory /Users/jessipavia/mcp/weather run python main.py(Optional) Run manual search locally:
python main.py --manualTest files (concise)
Copy a local file into
samples/:
cp /path/to/local/file.txt samples/Download an online file into
samples/:
curl -L "https://example.com/file.txt" -o samples/file.txtResources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/JessiP23/mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server