MCP Catalogs
Home

mcp-for-argocd vs filesystem

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

mcp-for-argocd
by argoproj-labs
filesystem
by modelcontextprotocol
Stars★ 464★ 85,748
30d uses
Score5377
Official
Categories
Developer ToolsOps & InfraAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last commit1 mo agothis month

mcp-for-argocd · Summary

MCP server enabling AI assistants to interact with Argo CD applications through natural language.

filesystem · Summary

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

mcp-for-argocd · Use cases

  • AI-assisted Argo CD application management through natural language
  • Integration of Argo CD operations into AI-powered development workflows
  • Automated infrastructure management using conversational AI

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-for-argocd · Install

Installation

Prerequisites

  • Node.js (v18 or higher recommended)
  • Argo CD instance with API access
  • Argo CD API token

Usage with Claude Desktop

  1. Create a claude_desktop_config.json configuration file:
{
  "mcpServers": {
    "argocd-mcp": {
      "command": "npx",
      "args": [
        "argocd-mcp@latest",
        "stdio"
      ],
      "env": {
        "ARGOCD_BASE_URL": "<argocd_url>",
        "ARGOCD_API_TOKEN": "<argocd_token>"
      }
    }
  }
}
  1. Configure Claude Desktop to use this configuration file in settings.

Usage with VSCode

  1. Create a .vscode/mcp.json file in your project:
{
  "servers": {
    "argocd-mcp-stdio": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "argocd-mcp@latest",
        "stdio"
      ],
      "env": {
        "ARGOCD_BASE_URL": "<argocd_url>",
        "ARGOCD_API_TOKEN": "<argocd_token>"
      }
    }
  }
}
  1. Start a conversation with an AI assistant in VS Code that supports MCP.

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.