No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JM-Lab · MCP Server · ★ 185
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is spring-ai-playground safe to install? View the security audit →
[!NOTE] Official repository The official Spring AI Playground repository has moved to: https://github.com/spring-ai-community/spring-ai-playground This repository is kept for personal experiments / notes and may diverge from the official version. For issues and pull requests, please use the official repository. Spring AI Playground Safe Local Execution Layer for AI Agent Tools Spring AI Playground is a cross-platform desktop app for building, testing, validating, and executing MCP tools in a controlled local environment. It helps you create reusable MCP tools once and use them across macOS, Windows, and Linux through a self-contained runtime. Unlike platforms that focus primarily on generating agents or authoring tools, Spring AI Playground focuses on making the tools it manages inside the app safer and easier to inspect before reuse. No pass, no run. Every tool you build earns a Local Pass — a local test-run with your sample arguments. Only passing tools are added live to the built-in MCP server and become callable from Agentic Chat. A tool that has not passed is never exposed to an agent. Safe execution does not end at publication.
| Stars | 185 |
| Forks | 34 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.7328458415064/100 |
| Open Issues | 6 |
| Last Updated | 2026-08-20 |
| Created | 2025-01-04 |
| Platforms | java, mcp |
| Est. Tokens | ~22k |
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spring-ai-playground is 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 is categorized as a MCP Server with 185 GitHub stars.
spring-ai-playground is primarily written in Java. It covers topics such as llm, llm-playground, local-llm-playground.
You can find installation instructions and usage details in the spring-ai-playground GitHub repository at github.com/JM-Lab/spring-ai-playground. The project has 185 stars and 34 forks, indicating an active community.
spring-ai-playground is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to spring-ai-playground on Agent Skills Hub include wcgw, UnrealGenAISupport, mcp-linker. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: