Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) that allows interaction with Jupyter notebooks running in a local JupyterLab environment. It enables collaborative data analysis and supports Docker for deployment.
Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) that allows interaction with Jupyter notebooks running in a local JupyterLab environment. It enables collaborative data analysis and supports Docker for deployment.
Install JupyterLab and the necessary dependencies, then start JupyterLab with specific commands.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"jupyter-mcp-server": {
"command": "npx",
"args": [
"-y",
"Install JupyterLab and the necessary dependencies, then start JupyterLab with specific commands."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Jupyter MCP Server?"
No configuration required. This server works out of the box.
"What resources are available in Jupyter MCP Server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Jupyter MCP Server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Jupyter MCP Server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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