What are the prerequisites?
Java 25, Maven, and Docker must be installed. Postman is recommended for testing.
@musabbozkurt
基本信息
OAuth2 Authorization Server with MariaDB, Docker OpenTelemetry LGTM, and Redis Integrations with Spring Boot 4, Java 25 and Docker. Integration Tests with Testcontainers and unit Tests with Junit 5, and Mockito
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"oauth2-authorization-server": {
"command": "docker",
"args": [
"compose",
"--profile",
"start_application",
"up",
"-d",
"--build"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An OAuth2 Authorization Server built with Spring Boot 4 and Java 25. It provides full OAuth2 authorization flows, supports multiple deployment options (Docker, native image with GraalVM, CRaC), and integrates with databases, Redis, LDAP, and local AI models for development and testing. It targets developers building or testing OAuth2-protected applications.
Install Java 25, Maven, and Docker. Set environment variables for AI model API keys (optional). Run tests with mvn clean verify. Start the application with docker compose --profile start_application up -d --build or using ./mvnw spring-boot:run after starting infrastructure services. Access Swagger UI at http://localhost:9000/swagger-ui/index.html with client ID client and secret secret, and login with default users (Developer/password, Admin/password, User/password).
Java 25, Maven, and Docker must be installed. Postman is recommended for testing.
Use Docker Compose: `docker compose --profile start_application up -d --build` for a full stack, or run `./mvnw spring-boot:run` after starting infrastructure services (Redis, MariaDB, LDAP, Ollama) with `docker compose up -d`.
Import the Postman collection and environment files from the `docs/postman` folder. Alternatively, use Swagger UI at `http://localhost:9000/swagger-ui/index.html` with client credentials `client:secret`.
Redis (port 6379), MariaDB (port 3306), and LDAP are core. For AI features, Ollama and Docker Model Runner are required.
Yes. It can run AI models locally via Ollama or Docker Desktop Model Runner. The tests and optional features use models like `mxbai-embed-large`, `mistral`, and `deepseek-r1:7b`.
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