About
MCP Server for using Yr Weather Data as Context in LLM tools.
README


Setup environment using uv
Windows
# Install uv
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
# Create virtual environment
uv venv
# Activate virtual environment
.venv\Scripts\activate
Linux
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment
uv venv
# Activate virtual environment
source .venv/bin/activate
Install dependencies
uv pip install -r pyproject.toml
Run server
uv run yr.py
Setup environment using pip
Create requirements.txt for installing dependencies via pip
uv pip freeze > requirements.txt
Install dependencies
pip install -r requirements.txt
Run server
python yr.py
Installing Yr
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/AnyContext-ai/yr-mcp-serverFAQ
Is Yr MCP free?
Yes, Yr MCP is free — one-click install via Unyly at no cost.
Does Yr need an API key?
No, Yr runs without API keys or environment variables.
Is Yr hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Yr in Claude Desktop, Claude Code or Cursor?
Open Yr on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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