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Image Analysis MCP Server

by champierre
GitHub
JavaScript
1
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图像 mcp 服务器

这是一个 MCP 服务器，它接收图像 URL 并使用 GPT-4o-mini 模型分析图像内容。

功能

  • 将图像 URL 作为输入并对图像内容进行详细分析
  • 使用 GPT-4o-mini 模型进行高精度图像识别和解释
  • 图片URL合法性检查函数

安装

# リポジトリをクローン git clone https://github.com/champierre/image-mcp-server.git cd image-mcp-server # 依存パッケージのインストール npm install # TypeScriptのコンパイル npm run build

环境

要使用此服务器，您将需要一个 OpenAI API 密钥。设置以下环境变量：

OPENAI_API_KEY=your_openai_api_key

配置 MCP 服务器

要将其与 Cline 等工具一起使用，请将以下内容添加到您的 MCP 服务器配置文件中：

对于 VSCode Claude 扩展

将以下内容添加到cline_mcp_settings.json ：

{ "mcpServers": { "image-analysis": { "command": "node", "args": ["/path/to/image-mcp-server/dist/index.js"], "env": { "OPENAI_API_KEY": "your_openai_api_key" }, "disabled": false, "autoApprove": [] } } }

克劳德桌面应用程序

将以下内容添加到claude_desktop_config.json ：

{ "mcpServers": { "image-analysis": { "command": "node", "args": ["/path/to/image-mcp-server/dist/index.js"], "env": { "OPENAI_API_KEY": "your_openai_api_key" }, "disabled": false, "autoApprove": [] } } }

如何使用

配置 MCP 服务器后，可以使用以下工具：

  • analyze_image ：获取图像 URL 并分析其内容

使用示例

画像URLを分析してください: https://example.com/image.jpg

发展

# 開発モードで実行 npm run dev

执照

国际学习中心

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

一个接受图像 URL 并使用 GPT-4-turbo 编译其内容的服务器，使 Claude AI 助手能够通过自然语言理解和描述图像。

  1. 功能
    1. 安装
      1. 环境
        1. 配置 MCP 服务器
          1. 对于 VSCode Claude 扩展
          2. 克劳德桌面应用程序
        2. 如何使用
          1. 使用示例
        3. 发展
          1. 执照

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