About Oauth2 Authorization Server
This repository provides a Spring Boot OAuth2 Authorization Server with database, Redis, observability, and AI-related components. Its README documents Docker-based operation, tests, and options for AOT, native images, and checkpoint/restore.
Key features
- 01OAuth2 authorization server
- 02MariaDB and Redis services
- 03Docker Compose setup
- 04AOT and native-image build paths
- 05CRaC checkpoint and restore
- 06Automated dependency update workflow
Use cases
- 01Run and test an OAuth2 server locally
- 02Inspect API endpoints with Swagger UI
- 03Build and run a native image
- 04Checkpoint and restore the application
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOAuth2 Authorization Server with Spring Boot 4 and Java 26
Prerequisites
- Java 26 should be installed -->
export JAVA_HOME=$(/usr/libexec/java_home -v 26) - Maven should be installed
- Docker should be installed
- Postman can be installed
How to Run and Test
-
Run the following commands to set environment variables for AI model API keys
-
export OPENAI_API_KEY=your_api_key_here export DEEPSEEK_API_KEY=your_api_key_here export ANTHROPIC_API_KEY=your_api_key_here # Optional export GOOGLE_GENAI_API_KEY=your_api_key_here # Optional
-
-
cd oauth2-authorization-server # Run tests on the host (requires Docker for Testcontainers) mvn clean verify # Build and start the application together with all infrastructure services docker compose --profile start_application up -d --build # Start only infrastructure services (Redis, MariaDB, LDAP, Ollama, etc.) docker compose up -d # For local development without Docker (requires infrastructure services running via docker compose up -d) ./mvnw spring-boot:run # or: mvn spring-boot:run -
Import the followings to test in Postman
-
Swagger: http://localhost:9000/swagger-ui/index.html
- Click
Authorizeand enter the following credentials client_id:clientclient_secret:secret- Use one of the following default values to log in http://localhost:9000/login
- username:
Developerpassword:password - username:
Adminpassword:password - username:
Userpassword:password
- username:
- Click
-
Actuator: http://localhost:9000/actuator/
-
Database credentials
url:jdbc:mariadb://localhost:3306/oauth2_authorization_serverusername:mb_testpassword:test
-
Redis
host:localhostport:6379
-
Redis Insight: http://localhost:5540/
- Click
Add Redis database Connection URL-->redis://[email protected]:6379- Click
Add Database 
- Click
-
Ollama
- http://localhost:3000/ sign up for an account for local environment
- Search for
mxbai-embed-largeand download it if it does not exist - Search for
mistraland download it if it does not exist - Search for
deepseek-r1:7band download it if it does not exist
-
Grafana UI
- http://localhost:3001/
- username:
admin - password:
admin
Debugging Spring Boot Tests in IntelliJ IDEA
- Run one of the below commands in the terminal
mvn test -Dmaven.surefire.debug- If port 5005 is already in use, you can specify a custom port
mvn test -Dmaven.surefire.debug="-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000"
- Open IntelliJ IDEA
- Go to
Run > Attach to Process(or use shortcut)- Windows/Linux:
Ctrl + Alt + 5 - Mac:
Cmd + Alt + 5
- Windows/Linux:
- Select the Java process running your tests
- The test will pause until you connect your debugger. Once connected, you can use breakpoints and step through your code.
How to Run and Test with CDC (Class Data Sharing)
- Java 26+ should be installed
- Run
./mvnw clean installor./mvnw clean install -Paotor./mvnw -Paot packagecommand to build the application with AOT - Run
docker-compose up -dcommand to run necessary services - Run
docker build -t oauth2-authorization-server -f DockerfileForAOTCache .command to build the image - Run
docker run -d --restart=always -p 9000:9000 oauth2-authorization-server:latestcommand to run the image
How to Run and Test Native Image with GraalVM
- Java 26 GraalVM edition should be installed
- Run
docker-compose up -dcommand to run necessary services - Run
./mvnw -Pnative native:compileor./mvnw -Pnative native:compile -DskipTestscommand to build the native image - Run
./target/oauth2-authorization-servercommand to run the native image - Install Grype (OPTIONAL)
- Run
native-image-inspect ./target/oauth2-authorization-server-0.0.1 | grype -vcommand to scan vulnerabilities
- Run
- Run
native-image-inspect ./target/oauth2-authorization-server-0.0.1 >output.jsoncommand and openoutput.jsonor visit http://localhost:9000/actuator/sbom/native-image to inspect all libraries, methods etc. used in the native image - Run
open ./target/oauth2-authorization-server-build-report.htmlto see build report - Use Swagger UI to test the application
Spring Boot with CRaC (Coordinated Restore at Checkpoint) by Creating Ready to Restore Container Image.
- Warning: for real projects make sure to not leak sensitive data in CRaC files since they contain a snapshot of the memory of the running JVM instance.
- Checkpoint
- Run
on demand checkpoint/restore of a running application
with:
./docs/scripts/checkpoint.sh - Run
an automatic checkpoint/restore at startup
with:
./docs/scripts/checkpointOnRefresh.sh
- Run
on demand checkpoint/restore of a running application
with:
- Restore
- Restore the application with:
./docs/scripts/restore.sh
- Restore the application with:
- Use Swagger UI to test the application
Docker Compose image versions
- Check pinned image tags in
docker-compose.yml:- Linux / macOS / Git Bash:
./docs/scripts/check-compose-image-updates.sh - Windows:
.\docs\scripts\check-compose-image-updates.cmd - Preview upgrades:
./docs/scripts/check-compose-image-updates.sh --dry-run - Apply OUTDATED bumps:
./docs/scripts/check-compose-image-updates.sh --apply
- Linux / macOS / Git Bash:
- CI runs the read-only check on every pipeline; automated Maven + Compose upgrades run via
.github/workflows/dependency-update.yml.
How to Run and Test AI Models Locally with Docker Desktop Model Runner
- Requires: Docker Desktop 4.40 and later
- Run
docker-compose up -dcommand to run necessary services - Run
docker model pull ai/gemma3:4B-Q4_K_Mcommand to pull the model- Run
docker model run ai/gemma3:4B-Q4_K_Mcommand to run the model to test it from the command line (OPTIONAL)
- Run
Docker Desktop-->Settings-->Features in development-->Beta features-->Enable Docker Model Runner-->Enable host-side TCP support-->Apply & Restart- Run
mvn testormvn clean installormvn clean packageor./mvnw clean installcommand to run all the tests - Run
mvn spring-boot:runcommand to run the application - Use Swagger UI to test the application
Dependency Version Management
Dependency versions are managed via
the Maven Versions Plugin and a version-rules.xml filter
that excludes alpha/beta/RC/SNAPSHOT releases.
Local — using the helper script:
./docs/scripts/update-versions.sh check # Show all outdated versions (parent + props + deps + plugins)
./docs/scripts/update-versions.sh update # Auto-update everything and review with: git diff pom.xml
./docs/scripts/update-versions.sh update-props # Update only <properties> versions (safest)
./docs/scripts/update-versions.sh update-parent # Update only spring-boot-starter-parent
./docs/scripts/update-versions.sh revert # Revert pom.xml from backup
CI/CD — automated PR creation:
The MB Dependency Version Update workflow runs every Monday (and on-demand), checks for updates, verifies the build compiles, and creates a PR automatically.
References
- Spring Boot 3 Tutorial Security OAuth2 Spring Authorization Server Save login data to a database
- Spring Boot LDAP Authentication from scratch with Spring Security and LDAP Server
- BCryptPasswordEncoderTests
- Efficient Containers with Spring Boot 3, Java 21 and CDS (SpringOne 2024)
- Getting started with Spring Boot AOT + GraalVM Native Images
- Welcome, GraalVM for JDK 24!🚀
- A vulnerability scanner for container images and filesystems Grype
- Introduction to Project CRaC: Enhancing Runtime Efficiency in Java & Spring Development
- Model Context Protocol (MCP)
- Ollama Installation with Docker Compose
- A Guide to Spring AI Advisors
- Testing LLM Responses Using Spring AI Evaluators
- Vector Databases
- Java + RAG: Create an AI-Powered Financial Advisor using Spring AI 💡
- Run AI Models Locally: Zero API Keys, Zero Fees with Docker Desktop Model Runner
- Spring AI 2.0 M1 with Spring Boot 4 Integration
- A Step-by-Step Guide for Installing and Using AppMap for Java
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