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MCP Server useful tools

@tmstack

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tmstack

MCP Server useful tools について

MCP Server useful tools, Spring AI MCP, Weather MCP, Stock MCP, Weather tool, Stock tool. https://mcphub.tools

#mcp#mcp-server

MCP Server useful tools 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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MCP Server useful tools 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 MCP Server useful tools?

MCP Server useful tools is an MCP (Model Context Protocol) server built with SpringBoot 3.3.6 and Spring AI 1.0.0-SNAPSHOT. It provides weather and stock‑market query capabilities via SSE (Server‑Sent Events) at http://127.0.0.1:8080/sse. This server is intended for developers integrating real‑time weather and stock data into AI‑powered applications using the MCP protocol.

How to use MCP Server useful tools?

The server runs on Java 17 (JDK 17) and is built with Maven 3.9.9. After launching, it exposes an SSE endpoint at http://127.0.0.1:8080/sse. Clients can send natural‑language queries for weather (e.g., “杭州天气”) to receive current conditions, or stock queries (e.g., “五粮液股价信息”) to receive real‑time stock data with buy/sell depth.

Key features of MCP Server useful tools

  • Weather queries returning conditions, temperature, humidity, wind, visibility
  • Stock queries returning price, change, volume, bid/ask depth
  • Spring AI‑powered integration with Model Context Protocol
  • SSE transport for real‑time event streaming
  • Example responses include 5‑level order book for stocks

Use cases of MCP Server useful tools

  • Query current weather for a city using natural‑language inputs
  • Retrieve real‑time stock prices and market depth for Chinese stocks
  • Integrate weather data into AI assistants or chat applications
  • Build automated stock monitoring tools with MCP‑enabled clients

よくある質問

1

What data does MCP Server useful tools provide?

It provides current weather conditions (e.g., temperature, humidity, pressure) and real‑time stock market data with buy/sell depth. Exact data sources are not specified in the README.

2

What are the runtime dependencies?

The server requires JDK 17, Maven 3.9.9, and uses Spring Boot 3.3.6 with Spring AI on the backend.

3

How do clients connect to the server?

Clients connect via SSE at `http://127.0.0.1:8080/sse`. No authentication method is mentioned.

4

Can I query any city or stock?

The examples show Chinese cities and Chinese stocks. The README does not list supported symbols or geographic limits.

5

What transport protocol does the server use?

It uses Server‑Sent Events (SSE) for streaming responses. No other transport is documented.

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