predictive-maintenance-mcp vs filesystem

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

	predictive-maintenance-mcp by LGDiMaggio	filesystem by modelcontextprotocol
Stars	★ 38	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsMonitoring	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

predictive-maintenance-mcp · Summary

MCP server enabling AI assistants to analyze vibration data, detect machinery faults, and generate diagnostic reports.

filesystem · Summary

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

predictive-maintenance-mcp · Use cases

Vibration signal analysis for machinery health monitoring
Bearing fault detection and severity assessment
Automated generation of diagnostic reports for maintenance teams

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

predictive-maintenance-mcp · Install

pip install predictive-maintenance-mcp

For Claude Desktop, add to your configuration:

{
  "mcpServers": {
    "predictive-maintenance": {
      "command": "/full/path/to/uvx",
      "args": ["predictive-maintenance-mcp"],
      "env": { "UV_LINK_MODE": "copy" }
    }
  }
}

Windows users can run the setup script:

git clone https://github.com/LGDiMaggio/predictive-maintenance-mcp.git
cd predictive-maintenance-mcp
.\setup_claude.ps1

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.