jupyter
pipStandardThe Jupyter MCP server allows AI agents to interact with Jupyter Notebooks. It provides tools to execute, manage, and monitor notebooks, including kernel management, cell execution, and output retrieval. It connects to local or remote Jupyter instances via the Jupyter Notebook API. Data scientists and ML engineers use it to automate notebook workflows, integrate notebooks into larger AI pipelines, and monitor notebook execution in real-time.
8651370Updated 2 months ago
Overview
The Jupyter MCP server allows AI agents to interact with Jupyter Notebooks. It provides tools to execute, manage, and monitor notebooks, including kernel management, cell execution, and output retrieval. It connects to local or remote Jupyter instances via the Jupyter Notebook API. Data scientists and ML engineers use it to automate notebook workflows, integrate notebooks into larger AI pipelines, and monitor notebook execution in real-time.
Installation
1Install the package
pip
pip install jupyter-mcp-server2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"datalayer-jupyter-mcp-server-github": {
"command": "uvx",
"args": [
"pip install jupyter-mcp-server"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from jupyter?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in jupyter?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in jupyter"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in jupyter with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with jupyter
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