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Spring AI Playground

v1.0.0•Coding Agents•stable

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

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What is Spring AI Playground?

Spring AI Playground is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to safe local execution layer for ai agent tools. build, validate, and publish mcp tools with a no-pass-no-run workflow — cross-platform desktop app powered by spring ai.

Safe local execution layer for AI agent tools. Build, validate, and publish MCP tools with a no-pass-no-run workflow — cross-platform desktop app powered by Spring AI.

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Safe local execution layer for AI agent tools. Build, valida

Use Cases

Build and validate MCP tools in a safe, local execution environment.
Develop and publish MCP tools with a no-pass-no-run workflow.
Cross-platform desktop app powered by Spring AI for tool development.
spring-ai-community

Maintainer

LicenseApache 2.0
Languagejava
Versionv1.0.0
UpdatedMay 16, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx spring-ai-playground

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Spring AI Playground

Spring AI Playground is a cross-platform desktop application and MCP server that provides a safe, sandboxed environment for building, testing, and publishing AI agent tools. It enforces a no-pass-no-run workflow — every tool must pass a local validation test before it can be published to the built-in MCP server — preventing untested code from running in production AI workflows. Built on the Spring AI framework, it ships with dozens of pre-built tool bundles (filesystem, GitHub, weather, finance, geolocation) and lets you connect to external MCP servers like Gmail, Notion, Slack, and Linear from a single interface.

Prerequisites

  • Java 21 or later (for JAR/source installation), OR Docker for containerized deployment
  • An MCP-compatible client such as Claude Desktop or Claude Code
  • API keys for any external tools you plan to use (e.g., GitHub token, weather API key)
  • macOS, Windows, or Linux (desktop app installers available for all three)
1

Download and install the desktop app

Download the installer for your platform from the latest GitHub release. On macOS, if you get a quarantine warning, remove the quarantine attribute after installation.

# macOS quarantine fix after installing the .dmg
xattr -dr com.apple.quarantine "/Applications/Spring AI Playground.app"
2

Alternatively run with Docker

Pull and run the container image. The volume mount persists your configuration and published tools across container restarts.

docker run -p 8282:8282 -v spring-ai-playground:/root \
  ghcr.io/spring-ai-community/spring-ai-playground
3

Configure as a Claude Desktop MCP server (stdio mode)

To use Spring AI Playground as an MCP server that Claude Desktop invokes directly, run the Docker image with the mcp-stdio profile. Add the corresponding config to Claude Desktop.

{
  "mcpServers": {
    "spring-ai-playground": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "SPRING_PROFILES_INCLUDE=mcp-stdio",
        "-v", "spring-ai-playground:/root",
        "ghcr.io/spring-ai-community/spring-ai-playground"
      ]
    }
  }
}
4

Build a tool in Tool Studio

Open the Tool Studio within the application and create a new tool. Tools start as private drafts. Define the tool's inputs and implementation, then click 'Local Pass' to run the validation test with sample inputs.

5

Publish validated tools to the MCP server

After a tool passes its local validation test, publish it to the built-in MCP server. Published tools are immediately available to connected MCP clients. Inspect them via the MCP Inspector dashboard.

6

Enable pre-built tool bundles

Select a default tools preference through the launcher card. Available bundles include Starter 5 (basic utilities), Dev Essentials (GitHub, filesystem, web fetch), and Everything (all built-in tools).

Spring AI Playground Examples

Client configuration

Claude Desktop configuration to use Spring AI Playground as an MCP server via Docker stdio mode.

{
  "mcpServers": {
    "spring-ai-playground": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "SPRING_PROFILES_INCLUDE=mcp-stdio",
        "-v", "spring-ai-playground:/root",
        "ghcr.io/spring-ai-community/spring-ai-playground"
      ]
    }
  }
}

Prompts to try

Example prompts using Spring AI Playground's built-in tool bundles.

- "Fetch the content of https://example.com and summarize it"
- "What is the current Bitcoin price in USD?"
- "List my open GitHub issues in the repository owner/repo"
- "What is the weather forecast for San Francisco this week?"
- "Read the file /path/to/config.json and explain its structure"

Troubleshooting Spring AI Playground

macOS: app cannot be opened because the developer cannot be verified

Run the quarantine removal command: xattr -dr com.apple.quarantine "/Applications/Spring AI Playground.app". This is needed because the app is distributed outside the Mac App Store.

Tool fails to publish — 'no pass, no run' error

Every tool must pass a local validation test before it can be published. Go to Tool Studio, open the failing tool, click 'Local Pass', provide valid sample inputs, and resolve any errors in the tool implementation before attempting to publish again.

Docker container exits immediately in stdio mode

The -i flag (interactive) is required when running in MCP stdio mode so Docker keeps stdin open. Ensure you are using: docker run -i --rm -e SPRING_PROFILES_INCLUDE=mcp-stdio ... and that your MCP client is passing input correctly.

Frequently Asked Questions about Spring AI Playground

What is Spring AI Playground?

Spring AI Playground is a Model Context Protocol (MCP) server that safe local execution layer for ai agent tools. build, validate, and publish mcp tools with a no-pass-no-run workflow — cross-platform desktop app powered by spring ai. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Spring AI Playground?

Follow the installation instructions on the Spring AI Playground GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Spring AI Playground?

Spring AI Playground works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Spring AI Playground free to use?

Yes, Spring AI Playground is open source and available under the Apache 2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "spring-ai-playground": { "command": "npx", "args": ["-y", "spring-ai-playground"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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