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Extract-Image

README.md
# 图像提取转换服务 

MCP服务器提供从本地文件、URL提取图像并转换为base64格式的功能,适用于LLM分析。
The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.## 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         |
|-------|--------------------|
| extract_image_from_file | Extract and analyze images from local file paths. Supports visual content understanding, OCR text extraction, and object recognition for screenshots, photos, diagrams, and documents. |
| extract_image_from_url | Extract and analyze images from web URLs. Perfect for analyzing web screenshots, online photos, diagrams, or any image accessible via HTTP/HTTPS for visual content analysis and text extraction. |
| extract_image_from_base64 | Extract and analyze images from base64-encoded data. Ideal for processing screenshots from clipboard, dynamically generated images, or images embedded in applications without requiring file system access. |


## 检查服务 ## Inspector

工具在线测试: [https://mcp.xiaobenyang.com/inspector/1777316659462147](https://mcp.xiaobenyang.com/inspector/1777316659462147)

Online Tool test [https://mcp.xiaobenyang.com/inspector/1777316659462147](https://mcp.xiaobenyang.com/inspector/1777316659462147)

## 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": {
    "图像提取转换服务": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "sse",
      "url": "https://mcp.xiaobenyang.com/1777316659462147/sse"
    }
  }
}
```
### STREAMABLE HTTP
```json
{
  "mcpServers": {
    "图像提取转换服务": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "streamable_http",
      "url": "https://mcp.xiaobenyang.com/1777316659462147/mcp"
    }
  }
}
```
### STDIO
```json
{
    "mcpServers": {
        "图像提取转换服务": {
          "command": "npx",
          "args": [
            "-y",
            "xiaobenyang-mcp"
          ],
          "env": {
            "XBY_APIKEY": "<YOUR_XBY_APIKEY>",
            "mcpId": "1777316659462147",
          },
          "transport": "stdio"
        }
      }
}

```

TDQS

A3.7/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose based on the input source: base64-encoded data, local file paths, and web URLs. The descriptions reinforce this by specifying unique use cases (e.g., clipboard screenshots, local files, web images), leaving no ambiguity for an agent to misselect tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun_from_source pattern (extract_image_from_base64, extract_image_from_file, extract_image_from_url), using snake_case throughout. This predictability makes it easy for agents to understand and navigate the tool set.

Tool Count5/5

With 3 tools, the server is well-scoped for its purpose of extracting images from different sources. Each tool earns its place by covering distinct input methods (base64, file, URL), avoiding redundancy while ensuring comprehensive coverage for the domain.

Completeness5/5

The tool set provides complete coverage for extracting images from all common sources: base64 data, local files, and URLs. There are no obvious gaps, as these cover the primary ways images are accessed in applications, web contexts, and file systems, enabling agents to handle a wide range of scenarios without dead ends.

Maintenance

ActivityInactive
ResponsivenessNo issues