by eazybytes
From Java Dev to AI Engineer: Spring AI Fast Track
# Add to your Claude Code skills
git clone https://github.com/eazybytes/spring-aiGuides for using mcp servers skills like spring-ai.
Last scanned: 5/30/2026
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}spring-ai is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by eazybytes. From Java Dev to AI Engineer: Spring AI Fast Track. It has 128 GitHub stars.
Yes. spring-ai passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/eazybytes/spring-ai" and add it to your Claude Code skills directory (see the Installation section above).
spring-ai is primarily written in Java. It is open-source under eazybytes on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh spring-ai against similar tools.
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Welcome to the official GitHub repository for the Spring AI Course. This course helps you build intelligent applications using the Spring AI framework and integrate powerful LLMs like OpenAI into your Spring Boot apps.
Below are some carefully curated reference links and tools used throughout the course. Bookmark this information for quick access during development and exploration.
Spring AI Official Documentation
The core reference for understanding Spring AI modules, configuration, and supported AI providers.
OpenAI Platform Docs
Learn how to use OpenAI's APIs including ChatGPT, GPT-4, embeddings, and more.
Ollama
Run open-source large language models (LLMs) locally on your machine with simple commands.
AWS Bedrock
Access foundation models from various providers via a fully managed AWS service.
Docker Desktop
Essential for running local AI model runtimes and Docker Compose setups used in the course.
Docker Model Runner
Use Docker’s official tool for running and managing AI models locally.
Attention Is All You Need (Transformer Paper)
The seminal research paper that introduced the Transformer architecture behind modern LLMs.
OpenAI Tokenizer Tool
Visualize how OpenAI tokenizes input prompts and estimate token usage.
Qdrant Vector Database
An open-source vector store used in Retrieval-Augmented Generation (RAG) demos with Spring AI.
Model Context Protocol (MCP)
A protocol for connecting AI clients and servers in a decoupled and extensible way.
Prometheus
Monitoring and alerting toolkit for collecting Spring Boot and AI app metrics.
Micrometer
Java metrics collection library used with Spring Boot to expose observability data.
OpenTelemetry
Industry-standard framework for distributed tracing and telemetry data.
Grafana
Visualization tool for creating dashboards from Prometheus and other data sources.
Jaeger Tracing
Distributed tracing platform used to trace and monitor AI request flows.
📬 For questions or issues, raise a GitHub issue or connect with the course instructor
Happy Learning! 🚀