cursor-notebook-mcp vs filesystem

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

	cursor-notebook-mcp by jbeno	filesystem by modelcontextprotocol
Stars	★ 157	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	Developer ToolsFile SystemAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

cursor-notebook-mcp · Summary

MCP server enabling AI agents to interact with Jupyter Notebook files through cell manipulation and metadata editing.

filesystem · Summary

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

cursor-notebook-mcp · Use cases

AI agents editing Jupyter notebooks within Cursor IDE to analyze data and create machine learning tutorials
Automated notebook validation and cleanup in development workflows
Converting notebooks to Python scripts or HTML for documentation purposes

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

cursor-notebook-mcp · Install

Installation

From PyPI:

pip install cursor-notebook-mcp

From source:

git clone https://github.com/jbeno/cursor-notebook-mcp.git
cd cursor-notebook-mcp
python -m venv .venv
source .venv/bin/activate  # On Windows use `.venv\Scripts\activate`
pip install -e .

Server Configuration (Cursor)

Create or update your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "notebook_mcp": {
      "url": "http://127.0.0.1:8080/mcp"
    }
  }
}

Then run the server:

cursor-notebook-mcp --transport streamable-http --allow-root /path/to/your/notebooks --host 127.0.0.1 --port 8080

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.