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mcp-playground vs filesystem

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

mcp-playground
by Elkhn
filesystem
by modelcontextprotocol
Stars★ 45★ 85,748
30d uses
Score4577
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit2 mo agothis month

mcp-playground · Summary

A Streamlit-based chat playground with plug-and-play MCP server support for various LLM providers.

filesystem · Summary

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

mcp-playground · Use cases

  • Creating a custom AI agent playground with specialized tools
  • Developing and testing MCP servers with a real client interface
  • Demonstrating multi-model LLM integration with external APIs

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-playground · Install

Installation

Prerequisites:

  • Docker ≥ 24
  • Docker Compose
  • At least one LLM provider API key

Quick Start:

git clone https://github.com/Elkhn/mcp-playground.git
cd mcp-playground
docker compose up --build

Access the application at http://localhost:8501

To integrate with Claude Desktop, add to your claude_desktop_config.json:

{
  "mcpServers": {
    "weather": {
      "command": "docker",
      "args": ["run", "--rm", "-p", "8000:8000", "weather-server"]
    }
  }
}

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.