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filesystem vs mcp-python-interpreter

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

filesystem
by modelcontextprotocol
mcp-python-interpreter
by yzfly
Stars★ 85,748★ 99
30d uses
Score7744
Official
Categories
File SystemDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsFile System
LanguageTypeScriptPython
Last committhis month7 mo ago

filesystem · Summary

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

mcp-python-interpreter · Summary

MCP Python interpreter server enabling LLMs to run Python code, manage environments, and handle files with proper security isolation.

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

mcp-python-interpreter · Use cases

  • AI-assisted Python development with code execution and debugging
  • File operations and content generation in a secure sandboxed environment
  • Python environment and package management through LLM interactions

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.

mcp-python-interpreter · Install

Install with pip:

pip install mcp-python-interpreter

Or with uv:

uv install mcp-python-interpreter

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-python-interpreter": {
        "command": "uvx",
        "args": [
            "mcp-python-interpreter",
            "--dir",
            "/path/to/your/work/dir",
            "--python-path",
            "/path/to/your/python"
        ],
        "env": {
            "MCP_ALLOW_SYSTEM_ACCESS": 0
        },
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.