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ipybox vs filesystem

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

ipybox
by gradion-ai
filesystem
by modelcontextprotocol
Stars★ 74★ 85,748
30d uses
Score4677
Official
Categories
Developer ToolsAI / LLM ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit2 mo agothis month

ipybox · Summary

Unified execution environment for Python, shell commands, and MCP tool calls with IPython kernels.

filesystem · Summary

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

ipybox · Use cases

  • Interactive development environment combining Python, shell commands, and MCP tools
  • Sandboxed code execution for secure data processing with local access
  • Building Freeact agents with unified programmatic tool access

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

ipybox · Install

Installation

pip install ipybox

Claude Desktop Configuration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "ipybox": {
      "command": "python",
      "args": ["-m", "ipybox.mcp_server"]
    }
  }
}

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.