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jupyter-mcp-server vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

jupyter-mcp-server
by datalayer
filesystem
by modelcontextprotocol
Stars★ 1,103★ 85,748
30d uses
Score5477
Official
Categories
Developer ToolsProductivityAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last committhis monththis month

jupyter-mcp-server · Summary

An MCP server that enables AI systems to interact with Jupyter notebooks in real-time, providing tools for notebook management and cell execution.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

jupyter-mcp-server · Use cases

  • AI assistants analyzing and executing code in Jupyter notebooks
  • Automated notebook management and cell execution workflows
  • Real-time collaboration between AI systems and human notebook users

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

jupyter-mcp-server · Install

# Install required dependencies
pip install jupyterlab==4.4.1 jupyter-collaboration==4.0.2 jupyter-mcp-tools>=0.1.4 ipykernel pycrdt

# Start JupyterLab
jupyter lab --port 8888 --IdentityProvider.token MY_TOKEN --ip 0.0.0.0

Configure your MCP client (e.g., Claude Desktop):

{
  "mcpServers": {
    "jupyter": {
      "command": "uvx",
      "args": ["jupyter-mcp-server@latest"],
      "env": {
        "JUPYTER_URL": "http://localhost:8888",
        "JUPYTER_TOKEN": "MY_TOKEN",
        "ALLOW_IMG_OUTPUT": "true"
      }
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.