Notebook
БесплатноНе проверенProvides AI assistants with deep semantic and runtime understanding of Jupyter notebooks.
Описание
Provides AI assistants with deep semantic and runtime understanding of Jupyter notebooks.
README
AI-Native Intelligence for Jupyter Notebooks
Notebook MCP is a Model Context Protocol (MCP) server that gives AI assistants deep semantic and runtime understanding of .ipynb notebooks.
🚀 Motivation
AI coding assistants struggle with notebooks because notebooks rely heavily on execution order and hidden runtime state.
Notebook MCP bridges this gap by converting notebooks into structured, analyzable execution graphs.
✨ Features
📊 Static Notebook Intelligence
- Dependency graph generation
- Variable lineage tracking
- Focused context slicing for LLM reasoning
- Deterministic notebook-to-script export
⚡ Execution State Awareness
- Detects stale cells
- Detects unexecuted cells
- Generates rerun plans
🔬 Runtime Jupyter Integration
- Execute code inside kernels
- Inspect variables
- Access kernel metadata
- Stream execution results
🏗️ Architecture
Notebook → MCP Server → AI Assistant
Core Components:
- AST Analysis Engine
- Dependency Graph Builder
- Execution State Engine
- Jupyter Kernel WebSocket Client
- Context Builder for LLMs
📦 Installation
npm (Recommended)
npm install -g @akram1110/notebook-mcp
Python Backend
pip install notebook-mcp
⚙️ Running Server
notebook-mcp
🧹 Uninstallation
Notebook MCP installs components via both npm and pip.
Follow the steps below to fully remove the tool.
Step 1 — Remove npm Wrapper
npm uninstall -g @akram1110/notebook-mcp
Step 2 — Remove Python Backend
pip uninstall notebook-mcp
or
python -m pip uninstall notebook-mcp
Step 3 — Confirm Removal
notebook-mcp
Expected output:
command not found
Step 4 — Windows Only: Remove Leftover Executables
Python sometimes leaves launcher files behind.
Check:
where notebook-mcp
If found, delete from:
<python_install_dir>\Scripts\
Example:
C:\Users\<username>\AppData\Local\Programs\Python\Python311\Scripts\
Step 5 — Clean Corrupted pip Distribution Warnings
If pip shows:
WARNING: Ignoring invalid distribution ~
Delete folders beginning with ~ inside:
<python_install_dir>\Lib\site-packages\
Then verify:
pip check
Step 6 — Optional Cache Cleanup
pip cache purge
After completing these steps, Notebook MCP will be fully removed from your system.
🔌 Cursor Integration
{
"mcpServers": {
"notebook": {
"command": "notebook-mcp"
}
}
}
🧪 Example MCP Tools
| Tool | Description |
|---|---|
| notebook_analyze | Builds dependency graph |
| notebook_context | Generates focused context |
| notebook_state | Detects execution state |
| notebook_rerun_plan | Suggests rerun order |
| jupyter_execute | Executes kernel code |
| jupyter_inspect | Inspects runtime variables |
🔧 Jupyter Integration
Set environment variables:
JUPYTER_BASE_URL=http://localhost:8888
JUPYTER_TOKEN=<token>
📚 Tech Stack
- Python
- Model Context Protocol (MCP)
- AST Analysis
- NetworkX Graphs
- Jupyter Kernel Protocol
- Node.js CLI Distribution
🛣️ Roadmap
- Output semantic analysis
- Notebook replay engine
- Incremental notebook graph caching
- Binary distribution support
🤝 Contributing
Issues and PRs welcome.
📄 License
MIT License
Установить Notebook в Claude Desktop, Claude Code, Cursor
unyly install notebook-mcpСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add notebook-mcp -- uvx notebook-mcpFAQ
Notebook MCP бесплатный?
Да, Notebook MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Notebook?
Нет, Notebook работает без API-ключей и переменных окружения.
Notebook — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Notebook в Claude Desktop, Claude Code или Cursor?
Открой Notebook на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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