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mcp-ayd-server vs filesystem

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

mcp-ayd-server
by macrat
filesystem
by modelcontextprotocol
Stars★ 0★ 85,748
30d uses
Score2777
Official
Categories
MonitoringDeveloper ToolsOps & Infra
File SystemDeveloper ToolsProductivity
LanguageGoTypeScript
Last commit17 mo agothis month

mcp-ayd-server · Summary

MCP server for monitoring Ayd status checks via the Model Context Protocol.

filesystem · Summary

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

mcp-ayd-server · Use cases

  • AI assistants can query Ayd status checks through natural language
  • Automated status reporting for monitored services
  • Integration of monitoring data into AI-powered workflows

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-ayd-server · Install

Installation

  1. Download the latest binary from the [release page](https://github.com/macrat/mcp-ayd-server/releases).
  1. Setup your client's configuration file.

For example, if you use Claude Desktop:

{
  "mcpServers": {
    "ayd": {
      "command": "C:\\path\\to\\mcp-ayd-server.exe",
      "args": ["http://127.0.0.1:9000"]
    }
  }
}
  1. Run the client app.
  1. Ask assistant like "What's the latest status of Ayd?"

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.