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my-monkey-app vs filesystem

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my-monkey-app
by KardelRuveyda
filesystem
by modelcontextprotocol
Stars★ 1★ 85,748
30d uses
Score3177
Official
Categories
AI / LLM ToolsDeveloper ToolsOther
File SystemDeveloper ToolsProductivity
LanguageC#TypeScript
Last commit10 mo agothis month

my-monkey-app · Summary

Interactive console app displaying monkey information with MCP server integration.

filesystem · Summary

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

my-monkey-app · Use cases

  • Educational tool for learning about monkey species and their conservation status
  • Example of MCP integration with a console application
  • Demonstration of GitHub Copilot Agent Mode for AI-assisted development

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

my-monkey-app · Install

  1. Clone the repository: git clone https://github.com/KardelRuveyda/MyMonkeyApp.git
  2. Navigate to the project directory: cd MyMonkeyApp
  3. Install .NET 9.0 SDK
  4. Build and run the application: dotnet run

For MCP integration with Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "monkeymcp": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "jamesmontemagno/monkeymcp"]
    }
  }
}

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.