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Spring AI MCP Server Example

@cagritrk

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cagritrk

Spring AI MCP Server Example について

Sample Spring AI MCP Server project built for fun and experimentation. 🚀 It implements basic CRUD operations using an in-memory data store with dummy Person data. 🤖

#spring-ai#mcp-server#crud-operations

Spring AI MCP Server Example の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Spring AI MCP Server Example のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Spring AI MCP Server Example?

A sample Spring AI MCP Server built for fun and experimentation. It implements basic CRUD operations on dummy Person data using an in-memory data store and demonstrates Spring MCP Tools annotations.

How to use Spring AI MCP Server Example?

Build the project with mvn clean install and start the server with java -jar target/spring-ai-mcp-0.0.1-SNAPSHOT.jar. Configure the MCP client with the JSON shown in the README, pointing to the built JAR file.

Key features of Spring AI MCP Server Example

  • In-memory data store for Person entities with CRUD operations
  • Eight MCP tools for managing person records
  • Search, filter, and update person data by various attributes
  • Built with Java 24, Spring Boot 3.4.4, and Spring AI 1.0.0-M6

Use cases of Spring AI MCP Server Example

  • Experimenting with Spring AI MCP Server development
  • Learning how to implement MCP Tools annotations for CRUD
  • Prototyping AI-assisted data management on a small dataset

よくある質問

1

What tools does the server expose?

It exposes eight tools: ps_create_person, ps_get_all_persons, ps_get_person_by_id, ps_update_person, ps_delete_person, ps_search_by_job_title, ps_filter_by_sex, and ps_filter_by_age.

2

Is the data persistent?

No. The server uses an in-memory data store with dummy Person data loaded from a CSV file. All data is lost when the server stops.

3

What are the runtime requirements?

Java 24 and the built JAR artifact produced by `mvn clean install`. There are no external database or service dependencies.

4

How do I configure a client to use this server?

Use the JSON configuration shown in the README, specifying `"command": "java"` and `"args": ["-jar", "<YOUR_PATH>/spring-ai-mcp/target/spring-ai-mcp-0.0.1-SNAPSHOT.jar"]`.

5

What transports does the server support?

The README only shows a stdio-based transport configuration via a local JAR execution; no network transports are documented.

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