1. Conduid
  2. AI
  3. Spring AI
MCP server · AI

Spring AI

by · github.com/eazybytes/spring-ai

From Java Dev to AI Engineer: Spring AI Fast Track

Unclaimed ai
InstallView source
64Good

Scored 7 days ago · breakdown

About Spring AI

Spring AI is an MCP server published by eazybytes in the AI category: from Java Dev to AI Engineer: Spring AI Fast Track.

The repository has 174 stars and 216 forks, with the last commit 3 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/eazybytes/spring-ai

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Spring AI

Powered by Claude · Grounded in docs

I know everything about Spring AI. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

From Java Dev to AI Engineer: Spring AI Fast Track

🌱 Spring AI Course – Resources & Reference Links

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.

📘 Official Documentation

🤖 AI Providers & Runtimes

  • 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.

📚 Foundational Papers & Tools

📦 Vector Store & MCP

📊 Observability & Monitoring Tools

  • 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.

📎 Stay Connected

📬 For questions or issues, raise a GitHub issue or connect with the course instructor

Happy Learning! 🚀

README fetched from the repository yesterday. The original is authoritative.

Questions

About Spring AI

How do I install Spring AI?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Spring AI safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Spring AI still maintained?

Yes — the last commit was 3 months ago. The repository has 174 stars and 216 forks and 2 open issues.