xiaobenyang-mcp
## 在线新闻
本MCP服务封装了新闻相关工具。
## 工具列表
本MCP服务封装了新闻相关工具，可让模型通过标准化接口调用以下功能：
| 工具名称 | 描述 |
|-------|--------------------|
| aa | xxxx（例如：实时热点新闻查询） |
| bb | yyy（例如：新闻内容关键词提取） |
## 前置需求 ｜ Prerequisite
Node.js 22 版本或以上。
Node.js 22 or above.
## 开始使用 ｜ Start
### 使用 Streamable HTTP 启动 | Start by Streamable HTTP transport
```
npm start
```
### 使用 Stdio 启动 ｜ Start by Stdio transport
```
{
"mcpServers": {
"xiaobenyang-mcp": {
"command": "npx",
"args": [
"xiaobenyang-mcp"
],
"env": {
"API_KEY": "你的实际apikey",
"MCP_ID": "你的实际mcpId",
"LOG_LEVEL": "info"
},
"transport": "stdio"
}
}
}
```
## Inspector
npx @modelcontextprotocol/inspector npx xiaobenyang-mcp
TDQS
Scored across 17 tools
Every tool has a clearly distinct purpose targeting a specific platform's trending data (e.g., 36氪热榜, B站热榜, 微博热搜). The descriptions are identical but the names unambiguously indicate different data sources, so there is no overlap or confusion between tools.
All tools follow a perfectly consistent pattern: '实时数据/' prefix followed by the platform name and '热榜' (or '热搜' for 微博). The naming is uniform across all 17 tools, with no deviations in style or structure.
With 17 tools, the count is slightly high but reasonable for covering multiple Chinese platform trends. It might feel heavy, but each tool corresponds to a distinct data source, so the number aligns well with the server's purpose of providing diverse real-time data.
The tool set comprehensively covers trending data from a wide range of major Chinese platforms (e.g., social media, news, tech sites). There are no obvious gaps for this domain—each tool provides access to a specific source, ensuring full coverage without dead ends.