notebook-mcp 1.5.5

MCP server that provides notebook-aware context and analysis for .ipynb files

Notebook MCP

Notebook MCP is a Model Context Protocol (MCP) server that provides deep semantic understanding of Jupyter notebooks for AI assistants and automation workflows.

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🧠 Why Notebook MCP?

Jupyter notebooks are difficult for AI assistants to reason about because they are:

• Stateful
• Non-linear
• Execution-order dependent
• Mixed with outputs and markdown

Notebook MCP solves this by building execution graphs and runtime awareness.

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✨ Features

• Static notebook dependency analysis
• Execution state detection (stale / unexecuted cells)
• Rerun planning engine
• Focused notebook context generation
• Notebook to deterministic Python conversion
• Jupyter kernel runtime execution and inspection

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📦 Installation

pip install notebook-mcp

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🚀 Running Server

notebook-mcp-python

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🔧 Environment Variables (Optional)

For Jupyter runtime integration:

JUPYTER_BASE_URL=http://localhost:8888
JUPYTER_TOKEN=<your_token>

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🧪 Example Use Cases

• AI notebook debugging
• Automated notebook refactoring
• Execution dependency tracking
• Runtime variable inspection

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🧩 Integration

Notebook MCP is designed to integrate with:

• AI coding assistants
• MCP clients
• Notebook automation workflows

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📚 Source Code

GitHub: https://github.com/akram-side-projects/notebook-mcp

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🤝 Contributions

PRs and feedback welcome.