Jupyter MCP Server
Jupyter MCP Server is an MCP server that adds data and analytics tools to AI assistants such as Claude Desktop, Claude Code and Cursor. 🪐 🔧 Model Context Protocol (MCP) Server for Jupyter. It has 1,297 GitHub stars, is released under the BSD-3-Clause license and runs locally with uvx jupyter_mcp_server.
github.com/datalayer/jupyter-mcp-server (opens in a new tab)
- Needs API key
- Data & analytics
- BSD-3-Clause
- Actively maintained
Install Jupyter MCP Server
Generated from the server's published package. Replace your-value with your own values.
Claude Desktop
{
"mcpServers": {
"jupyter-mcp-server": {
"command": "uvx",
"args": [
"jupyter_mcp_server"
],
"env": {
"JUPYTER_TOKEN": "your-value"
}
}
}
}Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.
Claude Code
claude mcp add --env JUPYTER_TOKEN=your-value --transport stdio jupyter-mcp-server -- uvx jupyter_mcp_serverCursor
{
"mcpServers": {
"jupyter-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"jupyter_mcp_server"
],
"env": {
"JUPYTER_TOKEN": "your-value"
}
}
}
}Project file; use ~/.cursor/mcp.json to enable it in every project.
VS Code
{
"inputs": [
{
"type": "promptString",
"id": "jupyter_token",
"description": "JUPYTER_TOKEN",
"password": true
}
],
"servers": {
"jupyter-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"jupyter_mcp_server"
],
"env": {
"JUPYTER_TOKEN": "${input:jupyter_token}"
}
}
}
}Config formats checked against the official docs on Oct 7, 2026: modelcontextprotocol.io (opens in a new tab), code.claude.com (opens in a new tab), cursor.com (opens in a new tab), code.visualstudio.com (opens in a new tab).
Environment variables
Variables the server reads at startup.
| Name | Required | Description |
|---|---|---|
JUPYTER_URL | No | Shown in the README's example configuration. |
JUPYTER_TOKENsecret | No | Shown in the README's example configuration. |
ALLOW_IMG_OUTPUT | No | Shown in the README's example configuration. |
About Jupyter MCP Server
An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time — and scale your Code Sandbox from local to the cloud (Datalayer, Kaggle, Google Colab, Modal, Daytona, E2B, CoreWeave, Cloudflare...)
- jupyter
- mcp-server
- ai
- mcp
- tools
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What is Jupyter MCP Server?
Jupyter MCP Server is an MCP server that adds data and analytics tools to AI assistants such as Claude Desktop, Claude Code and Cursor. 🪐 🔧 Model Context Protocol (MCP) Server for Jupyter. It has 1,297 GitHub stars, is released under the BSD-3-Clause license and runs locally with uvx jupyter_mcp_server. The source code is at github.com/datalayer/jupyter-mcp-server.
How do I install the Jupyter MCP Server MCP server?
Add the command uvx jupyter_mcp_server to your MCP client: put it in claude_desktop_config.json for Claude Desktop, run claude mcp add for Claude Code, or add it to .cursor/mcp.json (Cursor) or .vscode/mcp.json (VS Code). The snippets on this page are ready to paste.
Is Jupyter MCP Server free?
The server is open source under the BSD-3-Clause license, so running it is free. It needs credentials (JUPYTER_TOKEN) for the service it connects to, which may require a paid account.
Is Jupyter MCP Server actively maintained?
The most recent commit was on Oct 5, 2026. The latest release is v2.2.3, published Sep 26, 2026. appsgit only lists MCP servers with a commit in the last six months and re-checks every server daily.