Notebook MCP
Provides AI assistants with deep semantic and runtime understanding of Jupyter notebooks.
README
Notebook MCP
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.
๐ 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.
โจ Features
๐ Static Notebook Intelligence
- Dependency graph generation
- Variable lineage tracking
- Focused context slicing for LLM reasoning
- Deterministic notebook-to-script export
โก Execution State Awareness
- Detects stale cells
- Detects unexecuted cells
- Generates rerun plans
๐ฌ Runtime Jupyter Integration
- Execute code inside kernels
- Inspect variables
- Access kernel metadata
- Stream execution results
๐๏ธ Architecture
Notebook โ MCP Server โ AI Assistant
Core Components:
- AST Analysis Engine
- Dependency Graph Builder
- Execution State Engine
- Jupyter Kernel WebSocket Client
- Context Builder for LLMs
๐ฆ Installation
npm (Recommended)
npm install -g @akram1110/notebook-mcp
Python Backend
pip install notebook-mcp
โ๏ธ Running Server
notebook-mcp
๐งน Uninstallation
Notebook MCP installs components via both npm and pip.
Follow the steps below to fully remove the tool.
Step 1 โ Remove npm Wrapper
npm uninstall -g @akram1110/notebook-mcp
Step 2 โ Remove Python Backend
pip uninstall notebook-mcp
or
python -m pip uninstall notebook-mcp
Step 3 โ Confirm Removal
notebook-mcp
Expected output:
command not found
Step 4 โ 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 โ 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 โ Optional Cache Cleanup
pip cache purge
After completing these steps, Notebook MCP will be fully removed from your system.
๐ Cursor Integration
{
"mcpServers": {
"notebook": {
"command": "notebook-mcp"
}
}
}
๐งช 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 |
๐ง Jupyter Integration
Set environment variables:
JUPYTER_BASE_URL=http://localhost:8888
JUPYTER_TOKEN=<token>
๐ Tech Stack
- Python
- Model Context Protocol (MCP)
- AST Analysis
- NetworkX Graphs
- Jupyter Kernel Protocol
- Node.js CLI Distribution
๐ฃ๏ธ Roadmap
- Output semantic analysis
- Notebook replay engine
- Incremental notebook graph caching
- Binary distribution support
๐ค Contributing
Issues and PRs welcome.
๐ License
MIT License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.