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jupyter-mcp-server

bydatalayer· 4 MCP servers

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Category

Data Science & Analytics

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How to install jupyter-mcp-server?

datalayer/jupyter-mcp-server
$git clone https://github.com/datalayer/jupyter-mcp-server

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Install & use

Install jupyter-mcp-server by running `git clone https://github.com/datalayer/jupyter-mcp-server`, then use it for the current task and follow its documentation at https://github.com/datalayer/jupyter-mcp-server.

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README.md
1<!--
2 ~ Copyright (c) 2024- Datalayer, Inc.
3 ~
4 ~ BSD 3-Clause License
5-->
6 
7[![Datalayer](https://images.datalayer.io/brand/logos/datalayer-horizontal.svg)](https://datalayer.io)
8 
9[![Become a Sponsor](https://img.shields.io/static/v1?label=Become%20a%20Sponsor&message=%E2%9D%A4&logo=GitHub&style=flat&color=1ABC9C)](https://github.com/sponsors/datalayer)
10 
11<div align="center">
12 
13<!-- omit in toc -->
14 
15# 🪐🔧 Jupyter MCP Server
16 
17**An [MCP](https://modelcontextprotocol.io) server developed for AI to connect and manage [Jupyter](https://jupyter.org) Notebooks in real-time**
18 
19*Developed by [Datalayer](https://github.com/datalayer)*
20 
21[![PyPI - Version](https://img.shields.io/pypi/v/jupyter-mcp-server?style=for-the-badge&logo=pypi&logoColor=white)](https://pypi.org/project/jupyter-mcp-server)
22[![Total PyPI downloads](https://img.shields.io/pepy/dt/jupyter-mcp-server?style=for-the-badge&logo=python&logoColor=white)](https://pepy.tech/project/jupyter-mcp-server)
23[![Docker Pulls](https://img.shields.io/docker/pulls/datalayer/jupyter-mcp-server?style=for-the-badge&logo=docker&logoColor=white&color=2496ED)](https://hub.docker.com/r/datalayer/jupyter-mcp-server)
24[![License](https://img.shields.io/badge/License-BSD_3--Clause-blue?style=for-the-badge&logo=open-source-initiative&logoColor=white)](https://opensource.org/licenses/BSD-3-Clause)
25 
26 
27![Jupyter MCP Server Demo](https://images.datalayer.io/products/jupyter-mcp-server/mcp-demo-multimodal.gif)
28 
29</div>
30 
31> [!IMPORTANT]
32> - **Update in v1.0.2:**: Configurable timeout: `execute_cell` timeout is now configurable via `JUPYTER_MCP_EXECUTION_TIMEOUT` env var or `execution_timeout` config (default: 120s, max: 3600s). Per-call `timeout=0` uses the config default.
33>
34> **Hotfixes in v1.0.3:**
35> - **Management routes security (`/api/connect`, `/api/stop`, `/api/healthz`)** has been hardened in standalone `streamable-http` mode:
36> - local `Host` is required for all management routes
37> - non-local browser `Origin` is rejected
38> - `MCP_TOKEN` (Bearer) is required for state-changing routes (`/api/connect`, `/api/stop`)
39>
40> **Update in v1.0.2:** `pycrdt` is now supported, so installing `datalayer_pycrdt` is no longer required.
41>
42> **Breaking change in v1.0.0:** You must configure `MCP_TOKEN` in your MCP client setup.
43>
44> For setup details, see: https://jupyter-mcp-server.datalayer.tech/providers/jupyter-streamable-http-standalone/#3-configure-your-mcp-client
45>
46 
47> [!NOTE]
48> **We Need Your Feedback!**
49>
50> We're actively developing support for **JupyterHub** and **Google Colab** deployments. If you're using or planning to use Jupyter MCP Server with these platforms, we'd love to hear from you!
51>
52> - 🏢 **JupyterHub users**: Share your deployment setup and requirements
53> - 🌐 **Google Colab users**: Help us understand your use cases and workflows
54>
55> Join the conversation in our [Community page](https://jupyter-mcp-server.datalayer.tech/community) - your feedback will help us prioritize features and ensure these integrations work seamlessly for your needs.
56 
57## 📖 Table of Contents
58 
59- [Key Features](#-key-features)
60- [MCP Overview](#-mcp-overview)
61- [Getting Started](#-getting-started)
62- [Best Practices](#-best-practices)
63- [Contributing](#-contributing)
64- [Resources](#-resources)
65 
66## 🚀 Key Features
67 
68- ⚡ **Real-time control:** Instantly view notebook changes as they happen.
69- 🔁 **Smart execution:** Automatically adjusts when a cell run fails thanks to cell output feedback.
70- 🧠 **Context-aware:** Understands the entire notebook context for more relevant interactions.
71- 📊 **Multimodal support:** Support different output types, including images, plots, and text.
72- 📚 **Multi-notebook support:** Seamlessly switch between multiple notebooks.
73- 🎨 **JupyterLab integration:** Enhanced UI integration like automatic notebook opening.
74- 🤝 **MCP-compatible:** Works with any MCP client, such as Claude Desktop, Cursor, Windsurf, and more.
75- 🔍 **Observability:** Built-in hook system with OpenTelemetry i

Preview

datalayer/jupyter-mcp-serverdatalayer/jupyter-mcp-server

~ Copyright (c) 2024- Datalayer, Inc.

~

~ BSD 3-Clause License

Repodatalayer/jupyter-mcp-server
TypeMCP Servers
CategoryData Science & Analytics
UpdatedJul 2026
LicenseBSD-3-Clause
First seenJul 27, 2026

Tags

MCPaijupyter

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