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.
@cagritrk
基本情報
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. 🤖
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。
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.
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.
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.
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.
Java 24 and the built JAR artifact produced by `mvn clean install`. There are no external database or service dependencies.
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"]`.
The README only shows a stdio-based transport configuration via a local JAR execution; no network transports are documented.

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

Health by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
Hindsight: Agent Memory That Learns

Model Context Protocol Servers
コメント