Spring AI Playground is an open-source, self-hosted web UI that lets Java/Spring developers explore AI right inside their stack. Connect MCP servers, explore tools, upload documents, embed them into 18+ vector databases, build retrieval-augmented generation pipelines, and chat with any model—OpenAI, Anthropic, Gemini, Azure, or Ollama. Spin up with Docker, install as a PWA, and prototype agents in minutes. Licensed under Apache-2.0 and open to issues and stars.

Hi Product Hunt, Spring AI Playground is a self-hosted web UI for Java/Spring developers to experiment with MCP tools, vector databases, and LLMs in a single environment. It makes prototyping PoCs, testing AI workflows, and exploring RAG/MCP concepts fast and straightforward. Key features include: - MCP Tool Playground: Run interactive calls and explore available tools. - Vector DB + RAG: Ingest, embed, and retrieve documents across multiple stores. - Chat Integration: Switch models and providers (local or cloud) to validate workflows. Docker-ready and demo-friendly. Your feedback is valuable—what features or integrations should we prioritize? Star the repo and share your thoughts. https://github.com/JM-Lab/spring...

Spring AI Playground

One UI for MCP, RAG, and LLM Chat

One UI for MCP, RAG, and LLM Chat