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Jupyter MCP Server

A JupyterLab extension to manage MCP servers.

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What is the Jupyter MCP Server?

A JupyterLab extension to manage MCP servers.

The short version

This extension provides a user interface and backend infrastructure to configure and manage MCP servers directly within JupyterLab. It allows you to define which MCP servers are available for use by other JupyterLab extensions or AI assistants.

The Model Context Protocol (MCP) is an open standard that enables AI assistants and other clients to interact with various data sources, tools, and services through a unified interface. MCP servers expose resources, tools, and prompts that AI models can query and use during conversations.

  • Configuration Management — Add, edit, remove and disable MCP server configurations through a dedicated settings panel in JupyterLab
  • Multiple Server Types — Support for both HTTP (remote endpoint) and stdio (local executable) MCP servers
  • Flexible Configuration — Configure servers via:
  • JupyterLab Settings UI (persisted in browser)
  • JSON configuration files in Jupyter config directories (~/.jupyter/mcp_servers.json)
  • adding MCP servers in the manager server side (for extensions)

What it needs from you

  • JupyterLab >= 4.0.0 - Python >= 3.10

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Jupyter MCP Server

{
  "mcpServers": {
    "jupyter-2": {
      "command": "uvx",
      "args": ["jupyter_mcp_manager"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • JupyterLab >= 4.0.0 - Python >= 3.10

Frequently asked questions

A JupyterLab extension to manage MCP servers. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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