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The jupyter-ai-agents MCP server was last committed 8d ago and has 6 contributors. Issue health: 77% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

jupyter-ai-agents MCP Server

Name: datalayer/jupyter-ai-agents
Rating: 4.3 (1 reviews)
Author: datalayer

datalayer/jupyter-ai-agents

Score: 82.6 → 0% Rank #1384 MCP Server

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🪐 🤖 AI Agents with 🔧 MCP tools and 🧰 Skills for JupyterLab — Chat with your Notebook and execute code.

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Overview

datalayer/jupyter-ai-agents is a Jupyter Notebook tool licensed under BSD-3-Clause. 🪐 🤖 AI Agents with 🔧 MCP tools and 🧰 Skills for JupyterLab — Chat with your Notebook and execute code. Topics: ai, ai-agent, jupyter, agent, mcp.

Ranked #1384 out of 24846 indexed tools.

In the top 6% of all indexed tools.

Ecosystem

Jupyter Notebook BSD-3-Clause

aiai-agentjupyteragentmcp

Score Breakdown

Stars 15% 163

163 stars → growing community

Freshness 25% 8d ago

Last commit 8d ago → recently updated

Issue Health 25% 77%

20/26 issues closed → decent issue management

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 22

Description Good

License BSD-3-Clause

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 163
Forks: 22
Open Issues: 6
Closed Issues: 20
Contributors: 6
Dependents: —
Language: Jupyter Notebook
License: BSD-3-Clause
Last Commit: 8d ago

Matched Queries

topic:mcp

From the README

# 🪐 🤖 Jupyter AI Agents

🪐 ✨ AI Agents for JupyterLab with 🛠️ MCP tools - Chat interface for intelligent notebook interaction, code execution, and workspace management.

## 💬 Chat Interface

Experience seamless AI-powered assistance directly within JupyterLab through our intuitive chat interface:

The chat interface is built using [Pydantic AI](https://github.com/pydantic/pydantic-ai) for robust AI agent orchestration and [Vercel AI Elements](https://github.com/vercel/ai-elements) for the user interface components.

### MCP Server Integration

By default, the [Jupyter MCP Server](https://github.com/datalayer/jupyter-mcp-server) is started as a Jupyter server extension, providing access to all Jupyter MCP server tools directly through the chat interface. This enables the AI agent to interact with notebooks, execute code, manage files, and perform various Jupyter operations seamlessly.

### Getting Started with Chat

Currently, we support **Anthropic Claude Sonnet 4.0** as the AI mo

Read full README on GitHub →