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Spring boot Starter for swapi MCP Servers With Spring AI

Spring boot Starter for swapi MCP Servers With Spring AI

Local
github.com/thrkrdkDeveloper Tools2Updated 73w ago

About Spring boot Starter for swapi MCP Servers With Spring AI

This is a Spring Boot starter project for building swapi MCP server applications with Spring AI. Its documented branches cover server tools, prompts, resources, Roots, Completion, and OAuth2 security.

Key features

  1. 01Built with Spring Boot and Spring AI
  2. 02Supports Stdio and Webflux servers
  3. 03Includes MCP annotations
  4. 04Examples cover tools, prompts, and resources
  5. 05Branches cover Completion and OAuth2

Use cases

  1. 01Set up a Spring AI MCP server
  2. 02Reference tool and resource implementations
  3. 03Explore MCP Completion support
  4. 04Review OAuth2 security implementation

MCP support

The project builds MCP server applications and documents Stdio/Webflux servers, with implementations related to tools, prompts, resources, Roots, Completion, and OAuth2.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Spring boot Starter for swapi MCP Servers With Spring AI

TECH Stack

  • Spring Boot: 3.5.0
  • Spring AI: 1.0.0
  • Actuator
  • Spring MCP Server (Stdio/Webflux)
  • MCP Annotations
  • Lombok: 1.18.38
  • SpotBugs: 4.8.6
  • Jackson Databind
  • CheckStyle

Branches

Without Security

07-create-completion is the FINAL BRANCH. all code is in this branch

With Security

08-oauth2-server is the FINAL BRANCH. all code is in this branch

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.