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.
@gulihua10010
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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": {}
}
}
}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。
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.
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.
[题目](链接).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.
A Java runtime environment must be installed on the machine where the server runs.
The server communicates over STDIO transport, configured via the `spring.ai.mcp.server.stdio=true` property.
All results are fetched from Mianshiya.com, a Chinese interview question platform.
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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