spring-ai-playground MCP Server
spring-ai-community/spring-ai-playground
[](https://agentrank-ai.com/tool/spring-ai-community--spring-ai-playground/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Safe local execution layer for AI agent tools. Build and test-run MCP tools (no pass, no run), serve them from a built-in MCP server, and use them in Agentic Chat with RAG, human-in-the-loop approval, and built-in observability. Cross-platform desktop app powered by Spring AI.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
spring-ai-community/spring-ai-playground is a Java MCP server licensed under Apache-2.0. Safe local execution layer for AI agent tools. Build and test-run MCP tools (no pass, no run), serve them from a built-in MCP server, and use them in Agentic Chat with RAG, human-in-the-loop approval, and built-in observability. Cross-platform desktop app powered by Spring AI. Topics: ai-agents, ai-playground, mcp-client, mcp-server, rag, tool-development, agentic-chat, tool-validation, ai-observability, mcp, tool-sandbox.
Ranked #4379 out of 24846 indexed tools.
Ecosystem
Score Breakdown
145 stars → growing community
Last commit 1mo ago → moderate activity
1/2 issues closed → decent issue management
3 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# 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. > **Security scope.** The in-process sandbox is defense-in-depth for the local build-and-vet loop. It is not adversarial-grade isolation and not a gateway. To run tool code you do notRead full README on GitHub →
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