MianshiyaServer
@gulihua10010
About MianshiyaServer
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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": {}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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.
FAQ from MianshiyaServer
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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