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2025-01-24

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

3 years

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YR MCP Server

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

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    Reviews

    3 (1)
    Avatar
    user_mn9KTTAX
    2025-04-17

    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.