OAuth2 Authorization Server

Overview

The OAuth2 Authorization Server MCP is a fully‑featured, Spring Boot 3 implementation that exposes the standard OAuth2/OIDC flows as an AI‑ready service. It resolves a common pain point for developers building AI assistants: the need to delegate authentication and authorization to a secure, scalable backend without reinventing the wheel. By integrating with popular identity stores (MariaDB for persistence and Redis for caching), the server delivers fast token issuance, revocation, and introspection while keeping stateful operations lightweight for containerized environments.

What It Does

At its core, the server implements all major OAuth2 grant types—Authorization Code, Client Credentials, Password (for legacy support), and Refresh Token—as well as OpenID Connect discovery endpoints. It provides a Swagger UI for interactive testing, an Actuator endpoint for health and metrics, and a Postman collection that demonstrates every flow out of the box. The service also ships with native‑image support via GraalVM, enabling ultra‑fast startup times and reduced memory footprint—critical for serverless or edge deployments that power AI assistants.

Key Features

• Standard‑compliant authorization: Supports PKCE, token revocation, and introspection.
• Persistent storage: Uses MariaDB to store clients, users, and consent records; Redis offers in‑memory caching for tokens.
• Developer convenience: Built‑in Swagger UI, Postman collection, and Actuator endpoints make debugging trivial.
• Native image readiness: GraalVM support allows packaging the server as a single executable with minimal runtime overhead.
• Security best practices: Enforces HTTPS, strong password hashing, and secure client secret handling.

Real‑World Use Cases

• AI assistant onboarding: An AI platform can delegate user authentication to this server, issuing short‑lived access tokens that the assistant uses to call downstream APIs.
• Microservice federation: Multiple AI‑driven services can share a single authorization hub, simplifying credential management across the stack.
• Edge deployments: The native image variant can run in lightweight containers or serverless functions, ensuring low latency for time‑sensitive AI queries.
• Compliance auditing: Actuator endpoints expose metrics and health checks, aiding in regulatory reporting for data‑protected AI workloads.

Integration with AI Workflows

AI assistants consume the server’s tokens to authenticate calls to protected APIs. The MCP exposes a prompt that can automatically acquire an access token using the Client Credentials flow, then forward the request to downstream services. Because the server follows RFC 6749 and RFC 8414, any AI framework that understands OAuth2 can interact with it without custom adapters. The server’s ability to run as a native image further reduces cold‑start latency, ensuring that token issuance does not become a bottleneck in rapid AI inference pipelines.

Standout Advantages

What sets this MCP apart is its blend of conventional security with modern deployment agility. It offers a ready‑to‑use, production‑grade OAuth2 implementation while keeping the footprint small enough for container orchestration or edge execution. The built‑in tooling (Swagger, Postman, Actuator) removes the friction that often surrounds authentication services, allowing developers to focus on building intelligent features rather than plumbing secure access.