MianshiyaServer MCP Server

@gulihua10010

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

gulihua10010

提交者

顾力华

关于 MianshiyaServer MCP Server

暂无概览

#mianshiya#mcp-server#interview-assistant

MianshiyaServer MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mianshiyaServer": {
      "command": "java",
      "args": [
        "-Dspring.ai.mcp.server.stdio=true",
        "-Dspring.main.web-application-type=none",
        "-Dlogging.pattern.console=",
        "-jar",
        "/yourPath/mcp-server-0.0.1-SNAPSHOT.jar"
      ],
      "env": {}
    }
  }
}

MianshiyaServer MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MianshiyaServer?

MianshiyaServer is an MCP (Model Context Protocol) server that provides question search from the interview preparation website Mianshiya.com via a single questionSearch tool. It is developed with the MCP Java SDK and is intended for developers using any MCP-compatible AI agent such as Claude, Cursor, or Qianfan AppBuilder.

How to use MianshiyaServer?

After cloning the repository and building with Maven (mvn clean package), configure the server by adding its Java command-line invocation to your MCP client's JSON configuration (e.g., in Cherry Studio or an application.yml file). At runtime, invoke the tool by asking a question; the server returns a formatted link to the matching interview question on Mianshiya.

Key features of MianshiyaServer

Searches interview questions from Mianshiya.com via one tool.
Returns results as clickable markdown links: [题目](链接).
Fully compatible with the MCP protocol.
Supports multiple MCP clients (Claude, Cursor, Qianfan AppBuilder).
Can be configured with any AI model via Spring AI starters.
Requires only a Java runtime—no external API key for the server itself.

Use cases of MianshiyaServer

Querying interview questions through an AI assistant during study sessions.
Integrating instant question lookups into a custom coding interview bot.
Automating question retrieval for interview preparation workflows.

常见问题

What tools does MianshiyaServer expose?

It exposes a single tool named `questionSearch` that accepts a question as input and returns a markdown link to the corresponding page on Mianshiya.com.

What are the runtime requirements?

A Java runtime environment must be installed on the machine where the server runs.

What transport protocol is used?

The server communicates over STDIO transport, configured via the `spring.ai.mcp.server.stdio=true` property.

Where do the search results come from?

All results are fetched from Mianshiya.com, a Chinese interview question platform.

Does the server require an API key?

No API key is needed for the MianshiyaServer itself; however, the client AI model (e.g., Tongyi Qianwen) requires its own API key for chat completions.

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