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filesystem vs pfc-mcp

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

filesystem
by modelcontextprotocol
pfc-mcp
by yusong652
Stars★ 85,748★ 37
30d uses
Score7744
Official
Categories
File SystemDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsProductivity
LanguageTypeScriptPython
Last committhis monththis month

filesystem · Summary

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

pfc-mcp · Summary

MCP server connecting AI agents to ITASCA PFC for running DEM simulations through natural conversation.

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

pfc-mcp · Use cases

  • Automating DEM simulations through conversational AI interfaces
  • Assisting researchers with PFC command documentation and usage examples
  • Enabling remote control and monitoring of simulation tasks

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.

pfc-mcp · Install

Prerequisites

  • ITASCA PFC 6.0, 7.0, or 9.0 installed
  • [uv](https://docs.astral.sh/uv/getting-started/installation/) installed

Setup

  1. Register the MCP server in your client config:
{
  "mcpServers": {
    "pfc-mcp": {
      "command": "uvx",
      "args": ["pfc-mcp"]
    }
  }
}
  1. Start the bridge from inside PFC by downloading and running [addon.py](addon.py)
Comparison generated from public README + GitHub signals. Last updated automatically.