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🪐 ✨ Jupyter MCP Server

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Overview

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) that allows interaction with Jupyter notebooks running in a local JupyterLab environment.

To use the Jupyter MCP Server, install JupyterLab and the necessary dependencies, then start JupyterLab with specific commands. You can also configure it to work with Claude Desktop by modifying the configuration file.

  • Integration with Jupyter notebooks for real-time collaboration. - Ability to add and execute code cells and markdown cells in notebooks. - Supports Docker for easy deployment.
  1. Collaborative data analysis in Jupyter notebooks.
  2. Educational purposes for teaching data science concepts.
  3. Development of data-driven applications using JupyterLab.

Add to your AI client

Use these steps to connect 🪐 ✨ Jupyter MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "datalayer-jupyter-mcp-server-mcp-mirror": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-datalayer-jupyter-mcp-server-mcp-mirror"
      ]
    }
  }
}

FAQ

What is the Model Context Protocol (MCP)?

MCP is a protocol that facilitates interaction with models in a structured way, enhancing the capabilities of Jupyter notebooks.

Is Jupyter MCP Server free to use?

Yes! Jupyter MCP Server is open-source and free to use.

Can I run Jupyter MCP Server on any operating system?

Yes! Jupyter MCP Server can be run on MacOS, Windows, and Linux.

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