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YR-MCP-Server
MCP Server für die Verwendung von YR -Wetterdaten als Kontext in LLM -Tools.
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YR MCP Server
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
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Reviews

user_mn9KTTAX
I've been using the yr-mcp-server from AnyContext-ai, and I must say it has exceeded my expectations. The performance and reliability it offers are unparalleled. The seamless integration with our existing systems and the intuitive interface make it a breeze to operate. A big thumbs up to the team for this excellent product! Highly recommend for anyone needing a robust server solution.