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spring-ai-playground

by spring-ai-community·113·Score 47

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

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Overview

Spring AI Playground is a comprehensive desktop application that provides a safe local execution layer for AI agent tools. It features a 'no-pass-no-run' workflow where tools must pass local testing before being exposed to MCP servers. The app includes 86 default tools across various categories and supports both HTTP and stdio MCP server modes. Built with Spring Boot, it works across macOS, Windows, and Linux without requiring Java development knowledge.

Try asking AI

After installing, here are 6 things you can ask your AI assistant:

you:Developers building MCP tools with built-in validation before deployment
you:Teams connecting MCP tools into Python, Node.js, or mixed-stack environments
you:Users of Claude Desktop, Claude Code, Cursor and other MCP-compatible environments
you:What is the 'no-pass-no-run' workflow?
you:Does this require Java knowledge to use?
you:How are API keys and secrets managed?

When to choose this

Choose Spring AI Playground when you need to build and validate MCP tools without Java expertise, especially when tool safety and validation before agent execution is a priority.

When NOT to choose this

Avoid if you need tool development with full Java/Spring capabilities or if you require a cloud-based tool development environment.

Tools this server exposes

12 tools extracted from the README
  • web_fetch

    Fetch web content from URLs

  • datetime

    Get current date and time information

  • math

    Perform mathematical calculations

  • crypto

    Encrypt and decrypt data

  • filesystem

    Access and manipulate files and directories

  • github

    Interact with GitHub repositories

  • wikipedia

    Search and retrieve information from Wikipedia

  • weather

    Get weather information for locations

  • finance

    Access financial data and calculations

  • geo

    Get geographic information and services

  • security

    Perform security-related operations

  • encoding

    Encode and decode various formats

Comparable tools

mcp-server-playgroundtool-benchclaude-desktop-toolsmcp-js-runtime

Installation

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"]
    }
  }
}

FAQ

What is the 'no-pass-no-run' workflow?
It's a safety feature where tools must pass a local test run with sample arguments before being exposed to the MCP server and made available to AI agents.
Does this require Java knowledge to use?
No, the desktop app is designed for non-Java developers. You only need to be able to write small JavaScript functions to build tools.
How are API keys and secrets managed?
The app provides secure secret management through the desktop interface with OS-backed secure storage when available, falling back to encrypted local storage otherwise.

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Last updated · Auto-generated from public README + GitHub signals.