# Mcp Mianshiya Server

> 基于 Spring AI 的面试鸭搜索题目的 MCP Server 服务，快速让 AI 搜索企业面试真题和答案

- **Type:** MCP server
- **Install:** `agentstack add mcp-yuyuanweb-mcp-mianshiya-server`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [yuyuanweb](https://agentstack.voostack.com/s/yuyuanweb)
- **Installs:** 0
- **Category:** [Databases](https://agentstack.voostack.com/c/databases)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [yuyuanweb](https://github.com/yuyuanweb)
- **Source:** https://github.com/yuyuanweb/mcp-mianshiya-server
- **Website:** https://www.mianshiya.com

## Install

```sh
agentstack add mcp-yuyuanweb-mcp-mianshiya-server
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 面试鸭 MCP Server

## 简介

[面试鸭](https://mianshiya.com/)
的题目搜索API现已兼容MCP协议，是国内首家兼容MCP协议的面试刷题网站。关于MCP协议，详见MCP官方[文档](https://modelcontextprotocol.io/)。

依赖`MCP Java SDK`开发，任意支持MCP协议的智能体助手（如`Claude`、`Cursor`以及`千帆AppBuilder`等）都可以快速接入。

以下会给更出详细的适配说明。

## 工具列表

#### 题目搜索 `questionSearch`

- 将面试题目检索为面试鸭里的题目链接
- 输入: `题目`
- 输出: `[题目](链接)`

## 快速开始

使用面试鸭MCP Server主要通过`Java SDK` 的形式

### Java 接入

> 前提需要Java 17 运行时环境

#### 安装

``` bash
git clone https://github.com/yuyuanweb/mcp-mianshiya-server
```

#### 构建

``` bash
cd mcp-mianshiya-server
mvn clean package
```

#### 使用

1) 打开`Cherry Studio`的`设置`，点击`MCP 服务器`。
   

2) 点击`编辑 JSON`,将以下配置添加到配置文件中。

``` json
{
  "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": {}
    }
  }
}
```

3) 在设置-模型服务里选择一个模型，输入API密钥，选择模型设置，勾选下工具函数调用功能。
   
4) 在输入框下面勾选开启MCP服务。
   
5) 配置完成，然后查询下面试题目
   

#### 代码调用

1) 引入依赖

``` java
        
            com.alibaba.cloud.ai
            spring-ai-alibaba-starter
            1.0.0-M6.1
        
    
      org.springframework.ai
      spring-ai-mcp-client-spring-boot-starter
      1.0.0-M6
    
```

2) 配置MCP服务器
   需要在application.yml中配置MCP服务器的一些参数：

``` yaml
spring:
  ai:
    mcp:
      client:
        stdio:
          # 指定MCP服务器配置文件
          servers-configuration: classpath:/mcp-servers-config.json
  mandatory-file-encoding: UTF-8
```

其中mcp-servers-config.json的配置如下：

``` json
{
  "mcpServers": {
    "mianshiyaServer": {
      "command": "java",
      "args": [
        "-Dspring.ai.mcp.server.stdio=true",
        "-Dspring.main.web-application-type=none",
        "-Dlogging.pattern.console=",
        "-jar",
        "/Users/gulihua/Documents/mcp-server/target/mcp-server-0.0.1-SNAPSHOT.jar"
      ],
      "env": {}
    }
  }
}
```
客户端我们使用阿里巴巴的通义千问模型，所以引入spring-ai-alibaba-starter依赖，如果你使用的是其他的模型，也可以使用对应的依赖项，比如openAI引入`spring-ai-openai-spring-boot-starter` 这个依赖就行了。
配置大模型的密钥等信息：
``` yaml
spring:
  ai:
    dashscope:
      api-key: ${通义千问的key}
      chat:
        options:
          model: qwen-max
```
通义千问的key可以直接去[官网](https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key?spm=a2c4g.11186623.0.0.7399482394LUBH) 去申请，模型我们用的是通义千问-Max。
3) 初始化聊天客户端
``` java
@Bean
public ChatClient initChatClient(ChatClient.Builder chatClientBuilder,
                                 ToolCallbackProvider mcpTools) {
    return chatClientBuilder
    .defaultTools(mcpTools)
    .build();
}
```
4) 接口调用
``` java
    @PostMapping(value = "/ai/answer/sse", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
    public Flux generateStreamAsString(@RequestBody AskRequest request) {

        Flux content = chatClient.prompt()
                .user(request.getContent())
                .stream()
                .content();
        return content
                .concatWith(Flux.just("[complete]"));

    }
```

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [yuyuanweb](https://github.com/yuyuanweb)
- **Source:** [yuyuanweb/mcp-mianshiya-server](https://github.com/yuyuanweb/mcp-mianshiya-server)
- **License:** MIT
- **Homepage:** https://www.mianshiya.com

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-yuyuanweb-mcp-mianshiya-server
- Seller: https://agentstack.voostack.com/s/yuyuanweb
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.