Logo-Analyze
# Logo提取处理工具 Logo Analyze
一个智能Logo提取和处理的MCP服务器,支持从网站URL自动识别并提取Logo图标,并提供图像处理和矢量转换功能。
An MCP server for intelligent logo extraction and processing, supporting automatic recognition and extraction of logo icons from website URLs, and providing image processing and vector conversion functions.## 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 |
|-------|--------------------|
| get_best_logo_url | 从网站提取并返回最佳Logo的URL地址,适用于只需要获取最佳Logo URL的场景 |
| analyze_logo | 分析Logo的基本信息(尺寸、格式、质量等),支持onlyBestUrl参数只返回最佳Logo的URL |
## 检查服务 ## Inspector
工具在线测试: [https://mcp.xiaobenyang.com/inspector/1777316659872771](https://mcp.xiaobenyang.com/inspector/1777316659872771)
Online Tool test [https://mcp.xiaobenyang.com/inspector/1777316659872771](https://mcp.xiaobenyang.com/inspector/1777316659872771)
## 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": {
"Logo提取处理工具": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659872771/sse"
}
}
}
```
### STREAMABLE HTTP
```json
{
"mcpServers": {
"Logo提取处理工具": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659872771/mcp"
}
}
}
```
### STDIO
```json
{
"mcpServers": {
"Logo提取处理工具": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659872771",
},
"transport": "stdio"
}
}
}
```
TDQS
Scored across 2 tools
The two tools have significant overlap in purpose, as both can return the best logo URL. 'analyze_logo' does this optionally via a parameter, while 'get_best_logo_url' is dedicated to it, creating ambiguity about which to use for that specific task. Their descriptions suggest different primary functions (analysis vs. extraction), but the shared capability blurs the boundaries.
Both tools use a clear verb_noun pattern ('analyze_logo' and 'get_best_logo_url'), making them readable and predictable. The naming is mostly consistent, with minor deviations in verb choice ('analyze' vs. 'get') that reflect their different focuses but don't break the overall pattern.
With only 2 tools, the server feels under-scoped for a logo analysis domain. This limited set may not cover essential operations like logo validation, comparison, or batch processing, making it thin and potentially incomplete for typical agent workflows in this area.
The tool surface has significant gaps for logo analysis. It lacks basic CRUD operations (e.g., no upload, delete, or update tools) and misses common functionalities like logo format conversion, color analysis, or batch processing. The two tools provide limited coverage, likely causing agent failures in broader tasks.