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Yr

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

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About

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

README

YR

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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

from github.com/AnyContext-ai/yr-mcp-server

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-server

FAQ

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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