About MCP Server useful tools
A Spring AI-based MCP server for weather and stock data, intended for MCP clients that need these lookups. It exposes its service over SSE.
Key features
- 01Look up weather information
- 02Retrieve live stock quotes
- 03Serve over SSE
Use cases
- 01Check weather for a city
- 02Review a stock price and order book
- 03Provide weather and stock lookups to MCP clients
MCP support
The MCP server exposes weather and stock lookup tools to clients over SSE.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Server useful tools
- SpringBoot 3.3.6
- Spring AI 1.0.0-SNAPSHOT
- Model Context Protocol (MCP)
- Maven 3.9.9
- JDK 17
Weather MCP
SSE
Weather MCP, Stock MCP
Q:
杭州天气
A:
城市: 杭州
天气情况: Clear
气压: 1009(mb)
温度: 20°C (Feels like: 20°C)
湿度: 46%
降水量:0.0 (mm)
风速: 8 km/h (WSW)
能见度: 10 公里
紫外线指数: 0
观测时间: 2025-03-24 09:42 PM
Stock tool
Q:
五粮液股价信息
A:
======== 股票实时行情 ========
名称: 五 粮 液 (000858)
当前价格: 133.15 元
涨跌额: -1.16 元 (-0.86%)
今开: 134.60 元 | 昨收: 134.31 元
最高: 134.70 元 | 最低: 132.60 元
成交量: 158,132 手 | 成交额: 210,919 万元
--------- 买盘五档 ---------
买5: 133.11 元 (45 手)
买4: 133.12 元 (86 手)
买3: 133.13 元 (76 手)
买2: 133.14 元 (16 手)
买1: 133.15 元 (2 手)
--------- 卖盘五档 ---------
卖1: 133.16 元 (21 手)
卖2: 133.17 元 (30 手)
卖3: 133.18 元 (42 手)
卖4: 133.19 元 (29 手)
卖5: 133.20 元 (21 手)
更新时间: 2025-03-25 14:33:54
===========================
Explore MCP Servers and Clients
This platform is your centralized gateway to exploring, implementing, and innovating with the Model Context Protocol (MCP).
Explore reusable n8n workflow automation templates to easily automate your work.
Comments
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.