Spring AI Playground

Example Use Cases

• 1

  Dynamically access and execute custom low-code AI tools at runtime without redeployment.

• 2

  That require integration of knowledge-grounded responses via Retrieval-Augmented Generation pipelines.

• 3

  That benefit from combining LLM reasoning with tool execution in an agentic chat interface.

Description

Spring AI Playground enables users to create executable AI tools using JavaScript in a browser-based low-code environment, which are then dynamically exposed via a built-in MCP server for AI agents. It integrates Large Language Models, Retrieval-Augmented Generation, and agentic chat workflows to bridge static AI conversations with real-world actions. The platform supports multiple AI providers, offers a unified testing hub, and promotes validated tools to standalone MCP servers for reuse across AI clients and agent runtimes.