datalayer/jupyter-mcp-server

Overview

A Model Context Protocol (MCP) server that connects AI agents to Jupyter notebooks. It exposes notebook operations such as code execution, cell inspection, and output retrieval through the MCP standard. Built in Python, it enables AI assistants to programmatically interact with Jupyter environments.

Best for

Best for
Developers building AI agents that need to interact with Jupyter notebooks

Use cases

• Automating notebook execution from AI assistants
• Integrating Jupyter with MCP-compatible tools
• Enabling AI to read and write notebook cells

Notes

A Model Context Protocol (MCP) server that connects AI agents to Jupyter notebooks. It exposes notebook operations such as code execution, cell inspection, and output retrieval through the MCP standard. Built in Python, it enables AI assistants to programmatically interact with Jupyter environments.

1,134 stars on GitHub. Last updated 2026-05-13. Licensed BSD-3-Clause.

Use cases

• Automating notebook execution from AI assistants
• Integrating Jupyter with MCP-compatible tools
• Enabling AI to read and write notebook cells

Pros

• Open source with a growing community (1,134 stars)
• Leverages the standard MCP protocol for interoperability
• Python-native, easy to integrate into existing Jupyter workflows

Cons

• Requires a running Jupyter server and proper configuration
• MCP ecosystem is still emerging, limiting out-of-the-box compatibility
• Documentation may be sparse for advanced use cases

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.