JupyMCP is a Model Context Protocol (MCP) server for Jupyter Notebooks that provides both tools and resources for comprehensive notebook interaction.

{
    "mcpServers": {
        "jupymcp": {
            "command": "uvx",
            "args": ["jupymcp"]
        }
    }
}

from mcp.client.stdio import StdioServerParameters
from swarmx import Agent

agent = Agent(
    mcpServers={
        "jupymcp": StdioServerParameters(
            command="uvx",
            args=["jupymcp"],
        )
    }
)

You do not need to specify the server URL, token, or path. JupyMCP will automatically manage them for you.

• jupyter-mcp-server
• jupyter-mcp
• mcp-jupyter

JupyMCP provides comprehensive Jupyter Notebook integration through MCP:

• Cell Execution: Execute, add, and modify notebook cells, and return outputs (support image & audio)
• Cell Management: Add, insert, and manage code, markdown, and raw cells
• Metadata Operations: Get and set cell and notebook metadata

• Kernel Specs: List available kernel specifications via jupyter://kernelspecs
• Kernels: List running kernels via jupyter://kernels
• Notebooks: Read and write notebook files via notebook://{path}

I personally want a full-featured Jupyter Notebook server that can be used as a MCP server. All of the above alternatives are either not meeting my requirements (e.g. lack of editing).

I think it's better to start from scratch with LLM assistance. LLM-driven bootstrap is fun.

• Multiple Kernel support
• Multiple Notebook support
• Multimedia output support
• Authentication & security
• Notebook import/export