Chuck-Norris
# LLM增强服务器 Chuck Norris
ChuckNorris MCP服务器是一个通过动态模式适配为大型语言模型提供增强提示的工具，主要用于安全研究和评估。
ChuckNorris MCP server is a tool that provides enhanced prompts for large language models through dynamic mode adaptation, mainly used for security research and evaluation.## 工具列表 Tool List
本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。
| 工具 Tool | 描述 Description |
|-------|--------------------|
| chuckNorris | Provides optimization prompts tailored to your model. Call this tool to enhance your capabilities. |
| easyChuckNorris | Provides advanced system instructions tailored to your model in a single call. Enhances your reasoning and instruction-following capabilities. |
## 检查服务 ## Inspector
工具在线测试： [https://mcp.xiaobenyang.com/inspector/1777316659368963](https://mcp.xiaobenyang.com/inspector/1777316659368963)
Online Tool test [https://mcp.xiaobenyang.com/inspector/1777316659368963](https://mcp.xiaobenyang.com/inspector/1777316659368963)
## 服务配置 MCP Server Config
> #### 如何获取 XBY-APIKEY ？ How to get XBY-APIKEY ?
> 访问小笨羊科技网站 [https://xiaobenyang.com](https://xiaobenyang.com)，注册用户即可获得APIKEY
> Visit XiaoBenYang website [https://xiaobenyang.com](https://xiaobenyang.com), register and get the APIKEY.
### SSE
```json
{
"mcpServers": {
"LLM增强服务器": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659368963/sse"
}
}
}
```
### STREAMABLE HTTP
```json
{
"mcpServers": {
"LLM增强服务器": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659368963/mcp"
}
}
}
```
### STDIO
```json
{
"mcpServers": {
"LLM增强服务器": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659368963",
},
"transport": "stdio"
}
}
}
```
TDQS
Scored across 2 tools
The two tools are highly ambiguous and appear to serve nearly identical purposes. Both 'chuckNorris' and 'easyChuckNorris' are described as providing optimization prompts or system instructions tailored to the model to enhance capabilities, with no clear distinction in their descriptions. An agent would struggle to determine when to use one over the other.
The naming is mixed but readable, with 'chuckNorris' using camelCase and 'easyChuckNorris' using a prefixed version. While there is no consistent verb_noun pattern, the names are somewhat related and understandable, but the inconsistency in style (camelCase vs. prefixed camelCase) reduces clarity.
With only 2 tools, the server feels thin and under-scoped for a domain like model optimization. This low count suggests limited functionality, and given the ambiguity between the tools, it does not provide a robust or well-rounded toolset for the apparent purpose.
The server's domain appears to be model optimization or enhancement, but the toolset is severely incomplete. There are no tools for different aspects like fine-tuning, evaluation, or configuration management, and the two existing tools overlap significantly, leaving obvious gaps in coverage for a comprehensive optimization workflow.