# GitHub에서 직접 설치
pip install git+https://github.com/KJH-Sun/jupyter-kernel-mcp.git

# 또는 로컬 클론 후 설치
git clone https://github.com/KJH-Sun/jupyter-kernel-mcp.git
cd notebook-agent
pip install -e ".[dev]"

pip install --no-cache-dir --force-reinstall git+https://github.com/KJH-Sun/jupyter-kernel-mcp.git

{
  "mcpServers": {
    "notebook-runtime": {
      "command": "notebook-agent-mcp",
      "args": []
    }
  }
}

uvicorn app.main:app --host 127.0.0.1 --port 8000

# Open a notebook (starts kernel)
notebook-agent open --path /path/to/notebook.ipynb

# List cells
notebook-agent list-cells --path /path/to/notebook.ipynb

# Run a single cell (0-based index)
notebook-agent run-cell --path /path/to/notebook.ipynb --cell 0

# Run all cells up to index 5 with fresh kernel
notebook-agent run-until --path /path/to/notebook.ipynb --cell 5 --mode restart_and_run_until

# Restart kernel
notebook-agent restart-kernel --path /path/to/notebook.ipynb

# List active sessions
notebook-agent sessions

# Shutdown idle kernels
notebook-agent shutdown-idle --max-idle 1800

# Read cell outputs and extract images
notebook-agent get-cell-output --path /path/to/notebook.ipynb --cell 3

# Save notebook
notebook-agent save --path /path/to/notebook.ipynb

# 1. Open notebook
notebook-agent open --path analysis.ipynb

# 2. Check cells
notebook-agent list-cells --path analysis.ipynb

# 3. Run cells in order
notebook-agent run-cell --path analysis.ipynb --cell 0
notebook-agent run-cell --path analysis.ipynb --cell 1

# 4. If cell 3 fails with NameError, retry with full state rebuild
notebook-agent run-cell --path analysis.ipynb --cell 3 --mode restart_and_run_until

# 5. Check image outputs from a cell (e.g. matplotlib chart)
notebook-agent get-cell-output --path analysis.ipynb --cell 2
# → image_paths: ["/tmp/notebook-agent/analysis/cell_2_0.png"]

pytest