Jupyter + MCP with comprehensive resource support
Project description
JupyMCP
JupyMCP is a Model Context Protocol (MCP) server for Jupyter Notebooks that provides both tools and resources for comprehensive notebook interaction.
Usage
{
"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.
Alternatives
Features
JupyMCP provides comprehensive Jupyter Notebook integration through MCP:
Tools
- 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
Resources
- 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}
Why yet another one?
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).
Why not a folk of one of the above?
I think it's better to start from scratch with LLM assistance. LLM-driven bootstrap is fun.
Roadmap
- Multiple Kernel support
- Multiple Notebook support
- Multimedia output support
- Authentication & security
- Notebook import/export
Project details
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