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filesystem vs spring-ai-playground

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

filesystem
by modelcontextprotocol
spring-ai-playground
by spring-ai-community
Stars★ 85,748★ 113
30d uses
Score7747
Official
Categories
File SystemDeveloper ToolsProductivity
Developer ToolsAI / LLM ToolsProductivity
LanguageTypeScriptJava
Last committhis monththis month

filesystem · Summary

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

spring-ai-playground · Summary

Cross-platform desktop app for building, testing, and publishing MCP tools with a 'no-pass-no-run' safety workflow.

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

spring-ai-playground · Use cases

  • Developers building MCP tools with built-in validation before deployment
  • Teams connecting MCP tools into Python, Node.js, or mixed-stack environments
  • Users of Claude Desktop, Claude Code, Cursor and other MCP-compatible environments

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.

spring-ai-playground · Install

Installation

Desktop App (Recommended)

  1. Download the installer for your platform from the [GitHub Releases page](https://github.com/spring-ai-community/spring-ai-playground/releases)
  2. Install like a normal desktop application
  3. Launch Spring AI Playground from your applications menu

Docker

docker run -p 8282:8282 -v spring-ai-playground:/root ghcr.io/spring-ai-community/spring-ai-playground

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "spring-ai-playground": {
      "command": "java",
      "args": ["-jar", "path/to/spring-ai-playground.jar", "--spring.profiles.active=mcp-stdio"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.