by datalayer · MCP Server · ★ 153
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🪐 🤖 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 for robust AI agent orchestration and Vercel AI Elements for the user interface components. MCP Server Integration By default, the Jupyter MCP Server is started as a Jupyter server extension, providing access to all Jupyter MCP server tools directly through the c
| Stars | 153 |
| Forks | 20 |
| Language | Jupyter Notebook |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 75.7333056847616/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-07 |
| Created | 2024-12-08 |
| Platforms | mcp |
| Est. Tokens | ~105k |
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jupyter-ai-agents is 🪐 🤖 AI Agents for JupyterLab with 🔧 MCP tools - Chat interface for optimized notebook interaction and code execution.. It is categorized as a MCP Server with 153 GitHub stars.
jupyter-ai-agents is primarily written in Jupyter Notebook. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the jupyter-ai-agents GitHub repository at github.com/datalayer/jupyter-ai-agents. The project has 153 stars and 20 forks, indicating an active community.
jupyter-ai-agents is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to jupyter-ai-agents on Agent Skills Hub include n8n-claw, aser, wren-engine. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.